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Location: Philadelphia, PA, Kubernetes Platform Engineer – Voice Services Modernization Position Summary The Kubernetes Platform Engineer – Voice Services Modernization is responsible for designing, deploying, automating, and operationalizing cloud-native infrastructure for mission-critical voice applications. This role focuses on transforming traditional VM-based voice middleware and backend services into scalable, resilient Kubernetes-based platforms using modern DevOps, CI/CD, infrastructure-as-code, and observability practices. The engineer will work across infrastructure, application modernization, automation, and operational support to ensure highly available, low-latency voice services are successfully migrated into production cloud-native environments. Core Responsibilities Assess existing voice applications, infrastructure dependencies, and VM-based deployment environments Design Kubernetes-based architectures optimized for latency-sensitive and high-availability voice workloads Containerize middleware and backend applications and establish scalable deployment strategies Build and maintain CI/CD pipelines for automated testing, deployment, and lifecycle management Develop infrastructure automation using Ansible and Terraform Deploy, configure, and support Kubernetes and cloud platforms across AWS, Azure, GCP, OpenStack, or OpenShift Implement observability solutions including centralized logging, monitoring, alerting, and dashboarding Apply operational best practices for security, resiliency, scalability, and production support Support staged migration planning, testing validation, and production cutover activities Troubleshoot application, platform, and infrastructure issues across cloud-native environments Create operational documentation and provide knowledge transfer to engineering and operations teams Collaborate with development, operations, and architecture teams to modernize legacy voice services Required Technical Skills Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting Strong Ansible experience including role and playbook development CI/CD pipeline development and automation experience Cloud platform administration (AWS, Azure, GCP, OpenStack) Infrastructure-as-Code using Terraform Experience with monitoring, logging, dashboarding, and alerting platforms Scripting or programming experience (Python preferred) Production applications support and operational troubleshooting Understanding of high-availability and low-latency application architectures Preferred / Nice-to-Have Skills Red Hat OpenShift experience AI/ML platform exposure or AI-assisted operations tooling Telecom or voice application experience (SIP, SBCs, IMS, voice middleware) Experience supporting cloud-native migrations from VM environments GitOps and modern deployment methodologies Experience with observability platforms such as Prometheus, Grafana, ELK, Splunk, or Datadog Outcome / Business Objective Deliver a production-ready, Kubernetes-based runtime environment for voice middleware and backend services that improves scalability, resilience, automation, and operational efficiency while minimizing service disruption and migration risk.

Job Title; Developer Location: Philadelphia, PA Job Description :Your daily tasks • :Ensure timely and high-quality software releases across diverse devices by proactively monitoring metrics and alerting systems. Promptly respond to critical field issues, identify root causes, and implement effective mitigation strategies, • .Troubleshoot E2E issues in broadband devices in various RDK broadband components like WiFi/Mesh, DOCSIS, Fiber, LTE, or similar access network technology. Conduct source code reviews to identify root causes within the components and platform, • .Diagnosing and resolving issues using Linux systems and networking protocols, including packet capture analysi, • sDesign and enhance operational tools and architect DevOps solutions to optimize system performance and efficiency, • .Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency, • .Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models . What You’ll Bring • :Experience and strong ability in C/C++, Python, and Linux experience. You’ll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring, • .Proven expertise in at least one scripting language, such as Bash, Python, or Go, • .Experience of holding a Technical Lead / Senior role or mentoring a small team of engineers. Ability to make good technical decisions and convince others about the merits and reasons for those decisions, • .Experienced in Defect Tracking Tools such as Jir, • aSCM Tools - Git & GitHu, • bSQL and/or Amazon Athena experience .

Job DescriptionOverview We are seeking an experienced Kubernetes Platform Engineer to support a large-scale modernization initiative focused on transforming mission-critical voice services into cloud-native environments. In this role, you will design, deploy, automate, and operationalize Kubernetes-based infrastructure supporting highly available, low-latency voice applications. You'll work across platform engineering, automation, cloud infrastructure, CI/CD, observability, and production support while helping migrate legacy VM-based services into scalable Kubernetes environments. Key Responsibilities • Assess existing voice applications, infrastructure dependencies, and deployment environments, • Design Kubernetes architectures for high-availability and low-latency workloads, • Containerize middleware and backend applications, • Build and maintain CI/CD pipelines for automated testing and deployment, • Develop infrastructure automation using Terraform and Ansible, • Deploy and support cloud-native platforms across AWS, Azure, GCP, OpenStack, and OpenShift environments, • Implement monitoring, logging, alerting, and observability solutions, • Support migration planning, testing, validation, and production cutovers, • Troubleshoot application, platform, and infrastructure issues, • Develop operational documentation and knowledge transfer materials, • Partner with development, operations, and architecture teams to modernize legacy services, • Support production environments and incident response activities as needed Required QualificationsExperience, • 10+ years of infrastructure, platform engineering, DevOps, or cloud engineering experience, • Experience supporting enterprise-scale production environments, • Strong experience leading cloud-native modernization initiatives, • Experience supporting high-availability production applications Technical Skills, • Expert-level Kubernetes administration, deployment, lifecycle management, and troubleshooting, • Strong Ansible experience including role and playbook development, • CI/CD pipeline development and automation experience, • Cloud platform administration:, • AWS, • Azure, • GCP, • OpenStack, • Infrastructure-as-Code experience using Terraform, • Monitoring, logging, dashboarding, and alerting platform experience, • Python scripting or programming experience, • Production application support and operational troubleshooting, • Strong understanding of highly available and low-latency application architectures Preferred Qualifications, • Red Hat OpenShift experience, • GitOps experience, • AI/ML platform exposure, • AI-assisted operations tooling experience, • Telecom or voice application experience, • SIP, SBC, IMS, or voice middleware experience, • Experience migrating applications from virtualized environments to Kubernetes, • Experience with:, • Prometheus, • Grafana, • ELK, • Splunk, • Datadog Compensation $65.00 per hour (W-2) Work Details • Location: Philadelphia, PA 19103, • Hybrid Schedule: 1–2 days per week onsite, • Employment Type: Contract, • Local Candidates Preferred, • Relocation Assistance: Not Available, • Visa Sponsorship: Not Available Why This Opportunity Stands Out, • Enterprise-scale modernization initiative supporting mission-critical voice services, • Opportunity to lead Kubernetes platform transformation efforts, • Hands-on work with Kubernetes, Terraform, Ansible, CI/CD, and cloud-native technologies, • Exposure to large-scale production environments and cloud migration programs, • High-impact role driving scalability, resiliency, automation, and operational excellence, • Collaborative environment working across engineering, operations, and architecture teams

Job Description Employment Type: Full-Time, Remote About Us Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions. Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Its Acoustic Science division licenses spatial and multichannel HD audio technologies—including ADIO®, WiSA®, and Sumerian®—to customers in sports & entertainment, events & venues, automotive, finance, and other sectors. Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets. Job Description We are seeking a highly technical QA Lead / Senior SDET Lead to architect and drive our automation‑first quality engineering strategy. This role is deeply hands‑on: you will design automation frameworks, build test infrastructure, integrate quality signals into CI/CD pipelines, and ensure our systems are testable, observable, and reliable by design. You will lead a team of QA engineers while also contributing directly to code, tooling, and automation architecture. Responsibilities Technical Leadership & Quality Engineering Strategy • Lead and mentor SDETs and QA engineers with a focus on automation, tooling, and engineering excellence., • Define a modern quality engineering strategy centered on automation, continuous testing, and shift‑left practices., • Establish coding standards for test automation, testability patterns, and engineering best practices., • Partner with Engineering and DevOps to embed quality into architecture, design reviews, and deployment workflows. Automation Architecture & Framework Development • Architect, build, and maintain automation frameworks for:, • UI testing (Playwright, Cypress, Selenium), • API testing (REST, GraphQL, gRPC), • Backend/service‑level testing, • Contract testing (Pact or similar), • Develop reusable libraries, utilities, and internal test frameworks., • Implement parallel execution, distributed test runners, and containerized test environments., • Ensure frameworks support scalability, modularity, and low‑maintenance test design. CI/CD Integration & Test Infrastructure • Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)., • Build continuous testing workflows across build, integration, staging, and production‑like environments., • Implement automated quality gates, flaky‑test detection, and intelligent failure triage., • Collaborate with DevOps to optimize pipelines for speed, determinism, and reproducibility. Testing & Validation • Oversee and contribute to test planning, test case design, and automated test development., • Ensure robust coverage across functional, regression, integration, and end‑to‑end scenarios., • Implement service virtualization, mock servers, and dependency isolation for distributed systems., • Drive performance, load, and reliability testing using modern tooling (k6, Gatling, JMeter). Observability, Monitoring & Quality Metrics • Integrate test signals with observability platforms (logs, metrics, traces)., • Define and track engineering‑level quality KPIs (coverage, flakiness rate, MTTR, automation ROI)., • Build dashboards for test health, pipeline quality, and release readiness., • Lead root‑cause analysis and drive systemic improvements across engineering. Shift‑Left & Built‑In Quality • Promote early testing practices including unit, component, and contract testing., • Work with developers to improve code testability, dependency injection patterns, and instrumentation., • Support TDD/BDD workflows and participate in code reviews with a focus on test coverage and quality., • Advocate for built‑in test capabilities such as health checks, diagnostics, and runtime assertions. Qualifications • 7+ years in QA/SDET roles, with 2–3 years in a technical leadership capacity., • Strong hands‑on experience building automation frameworks (UI, API, backend)., • Proficiency in one or more programming languages (Java, Python, JavaScript/TypeScript)., • Deep experience integrating automated tests into CI/CD pipelines., • Expertise with modern test frameworks (Playwright, Cypress, Selenium, TestNG, JUnit, pytest, etc.)., • Strong understanding of distributed systems, microservices, and API‑driven architectures., • Solid understanding of Agile, DevOps, and continuous delivery practices., • Experience with Git and modern branching strategies. Preferred • Experience with containerized test environments (Docker, Kubernetes)., • Familiarity with contract testing, service virtualization, and mock servers., • Experience with performance and load testing tools (k6, Gatling, JMeter)., • Exposure to observability stacks (Prometheus, Grafana, OpenTelemetry)., • Experience in high‑scale or real‑time systems (ad tech, fintech, event tech, etc.). What We Offer • Competitive salary and benefits package., • A high‑impact engineering environment where automation and quality engineering are first‑class citizens., • Opportunities to work closely with senior technical leadership., • The chance to shape the automation and quality architecture of a next‑generation platform., • A culture built on innovation, ownership, and continuous improvement.

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! As a Senior Software Engineer at Obsidian, you'll: Own meaningful product and platform work across Obsidian's engineering stack. This is a generalist role for someone who can move between backend services, data flows, APIs, product features, integrations, and production systems without getting stuck at the boundaries between them. You'll work on systems that help customers understand activity, risk, and threats across their SaaS environments. Some problems will be well-defined. Others will start as a customer need, a security signal, or a vague product idea that needs technical shape. You should be comfortable turning that ambiguity into a design, a plan, and working software. What you'll do • Own features and system improvements from problem definition through production, • Design and build backend services, APIs, data processing workflows, integrations, and product-facing capabilities, • Work with product managers, designers, security researchers, and engineers to turn customer needs into shipped software, • Improve the performance, reliability, scalability, and observability of existing systems, • Make practical technical decisions and explain the tradeoffs clearly, • Help raise engineering standards through code reviews, design discussions, mentoring, and documentation, • Debug production issues and help teams get to durable fixes, not just short-term patches, • Use AI-powered tools effectively while maintaining high standards for correctness, security, and maintainabilityWhat's in It for You, • Direct impact on a core security product used by enterprises worldwide, • Variety across backend engineering, data pipelines, SaaS integrations, detection systems, cloud infrastructure, and customer-facing workflows, • A chance to work on current security problems around SaaS, identity, data movement, and AI usage, • Strong peers across product, engineering, security research, and go-to-market teams, • A fast-moving environment where senior engineers are expected to own problems, influence direction, and shipRequired Skills & Experience, • 5+ years of experience in a software engineering role, • Strong proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL, • Experience designing and building backend services, APIs, distributed systems, data processing workflows, or production product features, • Strong understanding of relational databases such as Postgres, • Experience with cloud platforms such as AWS or GCP, • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with event-driven or streaming systems such as Kafka, Redis, or similar technologies, • Ability to reason about system design, performance, reliability, security, and operational tradeoffs, • Experience leading technical work across a team without needing formal authority, • Strong communication skills in code reviews, design discussions, and cross-functional planningDesirable Experience, • Experience with observability and monitoring tools such as Grafana, Prometheus, or similar platforms, • Experience with CI/CD pipelines and deployment tooling such as GitLab CI/CD, • Exposure to large-scale distributed systems, high-throughput ingestion, or data pipeline architecture, • Background or interest in security, SaaS platforms, identity, threat detection, or data protection, • Experience working across multiple engineering teams or across geographically distributed teams, • Experience mentoring engineers and helping teams improve technical practices, • Experience evaluating AI-generated code and using AI tools as part of an engineering workflowAI Skills & AI-Native Engineering Expectations As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to improve development efficiency and build AI-ready systems. AI Engineering Capabilities • Leverage AI tools effectively to improve development efficiency and build AI-ready systems, • Critically evaluate, test, and refine AI-generated outputs before they reach production, • Understand core AI/ML concepts such as LLMs, embeddings, vector databases, inference, and evaluation, • Experience integrating AI/ML APIs or building systems that support AI-driven product workflows is a plus, • Ensure quality, observability, reliability, security, and performance in systems that use or support AI capabilities Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave, • Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$169,000—$192,000 USD

Job DescriptionJob Description: Your daily tasks: • Ensure timely and high-quality software releases across diverse devices by proactively monitoring metrics and alerting systems. Promptly respond to critical field issues, identify root causes, and implement effective mitigation strategies., • Troubleshoot E2E issues in broadband devices in various RDK broadband components like WiFi/Mesh, DOCSIS, Fiber, LTE, or similar access network technology. Conduct source code reviews to identify root causes within the components and platform., • Diagnosing and resolving issues using Linux systems and networking protocols, including packet capture analysis, • Design and enhance operational tools and architect DevOps solutions to optimize system performance and efficiency., • Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency., • Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. What You’ll Bring: • Experience and strong ability in C/C++, Python, and Linux experience. You’ll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring., • Proven expertise in at least one scripting language, such as Bash, Python, or Go., • Experience of holding a Technical Lead / Senior role or mentoring a small team of engineers. Ability to make good technical decisions and convince others about the merits and reasons for those decisions., • Experienced in Defect Tracking Tools such as Jira, • SCM Tools - Git & GitHub, • SQL and/or Amazon Athena experience. Powered by JazzHR phYOA8qVLX

Job Description Your daily tasks: • Ensure timely and high-quality software releases across diverse devices by proactively monitoring metrics and alerting systems. Promptly respond to critical field issues, identify root causes, and implement effective mitigation strategies., • Troubleshoot E2E issues in broadband devices in various RDK broadband components like WiFi/Mesh, DOCSIS, Fiber, LTE, or similar access network technology. Conduct source code reviews to identify root causes within the components and platform., • Diagnosing and resolving issues using Linux systems and networking protocols, including packet capture analysis, • Design and enhance operational tools and architect DevOps solutions to optimize system performance and efficiency., • Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency., • Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. What You’ll Bring: • Experience and strong ability in C/C++, Python, and Linux experience. You’ll also have experience with log management and analysis tools such as Elastic Stack (ELK), Splunk, and Grafana for data visualisation and monitoring., • Proven expertise in at least one scripting language, such as Bash, Python, or Go., • Experience of holding a Technical Lead / Senior role or mentoring a small team of engineers. Ability to make good technical decisions and convince others about the merits and reasons for those decisions., • Experienced in Defect Tracking Tools such as Jira, • SCM Tools - Git & GitHub, • SQL and/or Amazon Athena experience. Powered by JazzHR ADXOtQBM2v

Job Description In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities. While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies. Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure. About Us We are on a mission to accomplish the impossible and build a safer future of autonomous and robotic machines. We are looking for a growth-minded and dynamic Infrastructure Engineer - Hardware-In-the-Loop (HIL) who embodies our values of excellence, ownership, collaboration, and effective communication. Role Overview We are seeking a Senior Engineer focused on building and scaling HIL test infrastructure and automation platforms. This role goes beyond test execution — you will design multi-bench systems, CI/CD-driven workflows, and reliable lab infrastructure to enable efficient, repeatable validation of Fort products. Responsibilities • Design and scale Hardware-in-the-Loop (HIL) benches for system and device-level validation, • Build infrastructure for multi-bench orchestration (scheduling, parallel execution, resource management), • Build and manage DevOps workflows for test infrastructure, including pipeline automation, environment provisioning, and artifact management., • Design and integrate CI/CD pipelines for hardware-based testing, • Build containerized (like Docker) environments for reproducible test execution, • Develop systems to control hardware programmatically (power, connectivity, devices), • Improve lab infrastructure, fixtures, and test environments for scalability and reliability, • Build logging, metrics, and observability systems for debugging and traceability, • Collaborate with firmware, cloud, and hardware teams to resolve system-level issues, • Mentor engineers and drive best practices for scalable test infrastructure Qualifications • Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science, or related discipline preferred, • 5+ years of experience in embedded systems, robotics, or hardware-software systems, • Strong experience with HIL/SIL systems or test infrastructure, • Proficiency in Python for automation/framework development, • Experience designing automation systems at scale (multi-device, multi-environment, or distributed systems), • Strong experience with CI/CD systems (GitLab, Jenkins, or similar), including pipeline design and automation workflows, • Experience with containerization technologies (Docker) and building reproducible development and test environments, • Familiarity with DevOps practices and scalable system design, • Experience with embedded communication protocols (Ethernet, CAN, BLE, Wi-Fi), • Strong debugging skills across hardware and software systems, • Ability to design modular, maintainable systems and work cross-functionally Preferred • Experience with distributed systems or orchestration platforms, • Experience with cloud/logging tools (Azure, Grafana, etc.), • Knowledge of safety standards (IEC 61508, ISO 26262), • Hands-on hardware/fixture design experience, • Interest in applying AI/ML in daily engineering workflows

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!As a Software Engineer at Obsidian, you'll: Work across different parts of the product and codebase: backend services, APIs, data pipelines, integrations, product features, and internal tools. This is a good role for someone who likes variety and is comfortable learning a new area without needing everything mapped out in advance. You might spend one week improving an ingestion service, the next building an API for a customer-facing workflow, and the next helping debug a production issue with another team. The work is practical, product-driven, and close to real customer problems. What you'll do • Build and maintain product features across backend services, APIs, data systems, and user-facing workflows, • Work with product managers, designers, security researchers, and other engineers to ship useful, reliable software, • Contribute to services that process SaaS activity, identity data, permissions, alerts, and security findings, • Improve existing systems for performance, reliability, maintainability, and observability, • Write clear, well-tested code and participate in code reviews and design discussions, • Learn unfamiliar parts of the stack and help where the team needs you most, • Use AI-powered development tools thoughtfully while reviewing and validating the outputWhat's in It for You, • Contribute to a core product used by enterprises worldwide, • Work on security problems across SaaS, identity, data, and AI usage, • Learn from experienced engineers across the US and UK teams, • Build depth in backend engineering while getting exposure to adjacent areas like data pipelines, detection systems, cloud infrastructure, and product engineering, • Be part of a fast-moving company where engineers are expected to own real problemsRequired Skills & Experience, • 3+ years of experience in a software engineering role, • Proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL, • Experience building backend services, APIs, data processing systems, or product features, • Familiarity with relational databases such as Postgres, • Understanding of software design principles, testing, debugging, and clean code practices, • Experience working with Git and participating in code reviews, • Comfort working in a collaborative team environment with changing requirements, • Curiosity and willingness to learn unfamiliar systems, tools, and problem domainsDesirable Experience, • Experience with cloud platforms such as AWS or GCP, • Exposure to containerization technologies such as Docker or Kubernetes, • Familiarity with event or streaming systems such as Kafka, Redis, or similar technologies, • Experience with observability tools such as Grafana, Prometheus, or similar platforms, • Exposure to CI/CD pipelines and deployment tooling, • Interest in security, SaaS platforms, identity, data protection, or detection systems, • Experience using AI-powered developer tools in day-to-day engineering workAI Skills & AI-Native Engineering Expectations As an AI-forward engineering organization, we expect engineers to use AI tools effectively and understand foundational AI concepts that are increasingly part of modern software development. AI Engineering Capabilities • Leverage AI tools to improve development speed while critically reviewing AI-generated output, • Understand core AI/ML concepts such as LLMs, embeddings, inference, evaluation, and vector databases, • Build software that is reliable, observable, secure, and maintainable in AI-assisted development workflows, • Show good judgment about where AI tools help, where they do not, and how to validate their output Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave, • Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$131,000—$152,000 USD

Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with 130% year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Mission Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes • Deliver value for our customers, • Improve the stability and observability of our product, • Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries, • Review code and share knowledge with the team Requirements • Experience in .NET development and test coverage, • Knowledge of OOP principles and design patterns, • Experience with Database concurrency, • Upper-Intermediate English: both written and spoken, • A data-driven approach. Ability to justify decisions using concrete metrics, • Integrity and full commitment, • Growth mindset, • Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through, • Openness to constructive feedback and the opinions and ideas of others Our technologies • PL: .NET Core, • DB: MongoDB, PostgreSQL, • Hosting in the AWS, • Elasticsearch cluster, indexes for several billion documents, • ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far • Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. • Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. • High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. • Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. • _: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. • Fully remote team We are a global team of 200+ enthusiastic people spread across 30+ countries. We have been fully remote since 2020, with some locations populated with more Smartcaters than others, such as Boston, Belgrade, Lisbon, Tbilisi and Yerevan. • Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. • Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. • Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. • _: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Our team brings huge of cutting-edge, specialized expertise in Machine Learning and Speech Technologies, which are used daily by hundreds of millions of people worldwide. We already have several major projects underway and are looking to strengthen our team for a DevOps/SRE Engineer! • Minimum 5 years of experience in a DevOps and/or Site Reliability Engineering role, • Strong hands-on experience with Linux system administration, • Extensive experience deploying, operating, and scaling Kubernetes in both cloud and bare-metal environments, • Deep expertise and practical experience with at least one major cloud provider (preferably Google Cloud Platform), • Experience with ML inference on GPU/CPU is a strong plus, • Proven experience implementing SRE practices and building observability stacks using Grafana, Prometheus, and Loki, • Strong adherence to GitOps, Infrastructure as Code (IaC), and CI/CD principles, • Advanced expertise in Terraform, Ansible, and Python, • Comfortable working in high-uncertainty environments: we are building a new product, requirements evolve quickly, and the ability to rapidly learn new technologies and patterns is essential, • Proactive mindset: ability to look beyond DevOps tasks and actively debug and understand the product, • Strategic thinking: ability to choose technologies and architectural approaches based on long-term goals rather than short-term compromises, • Deploy, operate, and evolve a microservices-based platform running in Kubernetes clusters across AWS, GCP, and on-prem (Rancher), • Operate and support GPU-based ML inference services (Triton Inference Server, vLLM) deployed on RunPod, Scaleway, and Nebius, • Build and maintain Docker images for all microservices and ensure a stable service lifecycle, • Maintain and scale development and production Kubernetes clusters, actively participate in deployment debugging, incident investigation, and performance troubleshooting, • Develop, maintain, and evolve custom Helm charts for each service, • Design and operate CI/CD pipelines using GitHub (code and pipelines) and GitLab for on-prem customer deployments, • Ensure platform compliance with SOC 2 requirements and actively contribute to improving security and compliance processes, • Manage cluster access via NetBird VPN, implementing role-based access control using group policies, • Deploy and manage infrastructure using IaC practices with Terraform and Ansible, • Develop and continuously improve observability systems:, • Grafana & Prometheus for metrics, • ELK stack for centralized log storage and analysis, • Continuously optimize infrastructure in the areas of IaC, IAM, Observability, and CI/CD, • Work with a technology stack, including: Python, Kubernetes, Linux, Docker, GitHub CI/CD, PostgreSQL, ClickHouse, Kafka, Superset, Terraform, Ansible, • Experienced team, Aiphoria is formed by a team of enthusiastic professionals who created award-winning devices, voice assistants and other AI-driven products for BigTech corporations., • Cutting-edge technologies, we build a technology using our areas of expertise including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI incl. LLM and Diffusion models., • Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies., • Remote work opportunities., • Company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary own products., • Competitive compensation surpassing market standards., • A company with entrepreneurial spirit. We offer a unique mix of a secure workspace thanks to the big clients raised along with a true start-up culture!

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Cloud Infrastructure Engineer to implement and support our current and future DNS & Kubernetes architecture in private cloud. You will be directly responsible for ensuring the scalability, resilience, automation, and performance optimization of our DNS & Kubernetes environment by leveraging Infrastructure-as-Code (IaC) tools like Ansible, and Terraform, or Pulumi. This is a deeply technical role requiring expert-level understanding of DNS, Kubernetes and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities: • Implement and support large scale DNS Architecture that stretches private & public cloud across multiple regions., • Implement and support Infoblox DDI solutions (DNS, IPAM, DHCP), Cloudflare DNS management, Google & AWS DNS services., • Implement and support multi-tenant Kubernetes clusters leveraging BareMetal servers and Software defined storage protocols., • Implement Infrastructure as code leveraging CI/CD automation, Ansible, Terraform/Pulumi, Python and Bash for automated provisioning of DNS services., • Implement continuous delivery pipelines for Infrastructure updates, including patch management, service upgrade testing, and rollback procedures., • Develop automated monitoring, alerting, and healing mechanisms using GitOps principles and observability stacks (e.g., Prometheus, Loki, Grafana)., • Harden services for high availability, disaster recovery, and scale-out operations., • Perform deep-dive troubleshooting and performance analysis of Infrastructure services across hypervisors, backend storage protocols and networking layers., • Be involved in Change management and Global team collaboration, • Participate in on-call rotation, incident response, and root cause analysis for platform reliability issues. Requirements: • 5+ in managing global DNS & Kubernetes on Linux Operating Systems., • Expertise with Infoblox DDI systems (or similar enterprise DNS systems), Bind9, CloudFlare, GCP and AWS DNS, • Expert knowledge in managing Kubernetes and Ubuntu Linux systems., • Proficiency in Infrastructure-as-Code with Ansible, Terraform, or Pulumi., • Strong Linux (RHEL/CentOS/Ubuntu) systems engineering background with advanced scripting in Python, Bash, or Go., • Familiar with Cisco UCS Blade Servers (or similar server Infrastructure), Block/File Storage (Soft defined storage preferred)., • Fluency with Git, CI/CD pipelines, and automated test frameworks., • Familiar with various Infrastructure technology stacks like Hypervisor Technologies (KVM, Vsphere,), storage protocols (SDS) (iSCSI, NFS, CEPH), L2/L3 Networking, • Strong experience supporting mission critical 24x7 customer facing production environments., • Ability to write technical documentation and contribute to community wikis or knowledge bases. Preferred Qualifications • Good understanding of overall Enterprise Common Infrastructure service implementations with a focus on DNS & Kubernetes., • Understanding of security best practices for system patching and security compliance (e.g., CIS, NIST)., • Background in telco, edge cloud, or large enterprise infrastructure environments., • Experience building and maintaining automated test environments for system upgrades and DNS migrations., • Bachelor’s degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered. What You’ll Get • A collaborative team that’s deeply invested in infrastructure excellence., • Complex technical challenges that require creative, scalable solutions., • The opportunity to shape a next-generation private cloud platform-built reliability., • Access to the latest tools, frameworks, and upstream project developments. Skills and Attributes: • Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions., • Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders., • Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices. Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching., • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents., • Generous employee stock purchase plan., • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $83,800—$200,600 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: _. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at _. As a Senior DevOps Engineer at Sword Health, you'll own and evolve the infrastructure that powers the world's leading AI Care platform. Working across a multi-cloud environment, you'll build and maintain the systems behind our frontends, backends, microservices, and data pipelines - collaborating closely with multiple engineering teams to keep everything reliable, scalable, and fast. You'll also interface with our AI teams as their models move into production, ensuring the infrastructure is ready to support them. If you thrive in cross-team environments and want your infrastructure work to directly impact healthcare at scale - we'd love to hear from you. • Design, implement, and maintain scalable, resilient infrastructure to support Sword Health’s high-demand applications and services., • Automate and streamline deployment processes, CI/CD pipelines, and routine maintenance tasks to enhance efficiency and reduce downtime., • Monitor and optimize system performance, proactively identifying and resolving issues to ensure high availability and reliability., • Collaborate closely with development, data, and security teams to ensure seamless integration of infrastructure and code changes., • Drive security best practices by implementing and managing access control, network security, and compliance-related policies across the infrastructure., • Lead incident response and troubleshooting for infrastructure-related issues, ensuring rapid and effective resolution to maintain service continuity., • Mentor and guide junior team members, sharing DevOps best practices and fostering a culture of continuous learning and improvement within the team., • Stay up-to-date with industry trends and emerging technologies, bringing innovative solutions to Sword Health’s DevOps processes and toolchains., • Experience with Linux environments., • Experience with DevOps and GitOps methodologies., • Experience with Kubernetes and Containerized applications (Docker)., • Experience with Infrastructure as Code (Terraform)., • Experience with Monitoring Tools (Google Cloud Monitoring/StackDriver, Grafana, Prometheus/AlertManager, NewRelic)., • Experience with Jenkins., • Experience with CI/CD., • Team player, Solution-oriented, Proactive attitude with “Get Things Done” mindset., • Enthusiast and interested in technologies and innovation., • Fluent in English (written and oral)., • Extra: Experience/Knowledge with Kafka, Prometheus/AlertManager, Grafana, Elasticsearch/ Logstash/ Kibana, Vault, Redis, MySQL, DNS., • Extra: Experience with PHP, Javascript, GoLang., • Extra: Experience provisioning servers and services using AWS, Azure, or GCP., • Extra: Experience/Knowledge with Istio., • Extra: Good know-how about Cloud Networking including VPC Management, Routing, NAT, and overall troubleshooting using TCPdump analysis., • A stimulating, fast-paced environment with lots of room for creativity;, • A bright future at a promising high-tech startup company;, • Career development and growth, with a competitive salary;, • The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;, • A flexible environment where you can control your hours (remotely) with unlimited vacation;, • Access to our health and well-being program (digital therapist sessions);, • Remote or Hybrid work policy., • To get to know more about our Tech Stack, check _. $140,000 - $220,000 a year *This range includes base, variable and equity These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact. Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below. US - Sword Benefits & Perks: • Comprehensive health, dental and vision insurance• Life and AD&D Insurance• Financial advisory services• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)• Health Savings Account• Equity shares• Discretionary PTO plan• Parental leave• 401(k)• Flexible working hours• Remote-first company• Paid company holidays• Free digital therapist for you and your family *Eligibility: Full-time employees regularly working 25+ hours per week Note: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided. SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview We’re looking for a seasoned Front-End Architect who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care deeply about developer experience, scalability, and performance. You’ve likely led modernization efforts, built shared frameworks or design systems, and enjoy helping others adopt better patterns at scale. As a Front-End Architect, you’ll help shape the foundation of how all our SaaS products are built and experienced. Our goal is to enable product teams to deliver faster, safer, and more consistent customer experiences, and you’ll play an instrumental role in that journey. You’ll collaborate with Senior Engineers, Product Managers, and UX Designers to create a cohesive frontend platform that unites multiple SaaS products into a single, scalable application. This is a hands-on technical leadership role: Part Architect, Part Builder, and Part Mentor. You’ll lead by example, designing reusable UI frameworks, modernizing legacy codebases, and guiding engineering teams toward better patterns, tooling, and practices. • You’ll have outsized impact. The work you do will unlock speed and consistency across multiple SaaS products, laying the groundwork for our next-generation unified platform., • You’ll solve meaningful technical challenges. From platform architecture to developer experience, you’ll tackle problems that blend scale, complexity, and usability., • You’ll join a culture that values autonomy and trust. We empower experienced engineers to make decisions, move quickly, and see their work make a measurable difference. No ivory towers. NOTE: Candidates must reside in The United States or Canada. • 8+ years of professional frontend development experience, including deep expertise in one or more major frameworks (e.g. React, Vue) and modern JavaScript/TypeScript., • 4+ years of experience shipping pragmatic SaaS solutions to production (AWS, Azure, or GCP), balancing technical vision with delivery., • Excellent mentorship and leadership skills, with the ability to guide and challenge senior developers., • Clear and confident communication: you can explain tradeoffs, document patterns, and build trust across Engineering, Product, and UX., • Comfortable leading by example: rolling up your sleeves to prototype ideas and prove out new patterns, then scaling those patterns widely through evangelism and mentorship., • Bachelor’s degree in a Computer Science related field, or equivalent practical experience., • Strong experience designing and implementing extensible frontend architectures (e.g., modular React apps, micro frontends, or plugin systems)., • Experience with the rest of our frontend stack (e.g. MUI, Vite[st], Tanstack, Emotion) and beyond (e.g. AWS, Docker, Grafana, AzDO), • Experience improving frontend DX through better tooling, faster local dev loops, observability, feature flagging, CI/CD pipelines, etc., • Familiarity with design systems, accessibility, and internationalization best practices., • Exposure to domain-driven design concepts and how they apply to frontend modularization., • Understanding of AI systems, including LLM architectures, token generation, and MCP frameworks., • Enthusiasm for using agentic AI and other modern practices as a key part of the SDLC (!!!). The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable). MIN: $154,000 - MID: $220,000 - MAX: $264,000 (USD) a year MIN: $137,900 - MID: $197,000 - MAX: $236,400 (CAD) a year Salary range (min - max)Magnet is proud to offer benefits such as: - Generous time off policies - Competitive compensation - Volunteer opportunities - Reward and recognition programs - Employee committees & resource groups - Healthcare and retirement benefits Indicators of Success We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have ‘been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us. How We Work At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals. We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best! The Most Important Thing We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences: CARE – We care about each other and our mission to make a difference in the world. OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect. DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect. EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work. Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways. Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact _ should you require any accommodations. All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment. US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found _.

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. You’ll own high-impact software across one or more parts of Zipline’s application platform, such as: • Partner, merchant, and internal operations tools that help teams run the business day to day, • Marketplace, fulfillment, billing, and support systems that connect demand, delivery, and financial correctness, • Network operations software for simulation, real-time visibility, intervention, orchestration, maintenance, and asset health, • Enterprise systems that power manufacturing, supply chain, inventory, traceability, finance, quality, and field operations You’ll work closely with the people who use these systems every day, from operators and field teams to manufacturing, supply chain, finance, commercial, product, and partner teams. You’ll identify ambiguous problems, design durable systems, build production software end to end, and drive adoption. This team builds the software backbone of Zipline’s autonomous logistics network, turning complex real-world operations into reliable systems that scale. You’ll solve problems like: • How do we give operators and partners real-time visibility into a complex physical network?, • How do we keep the network moving when demand shifts, weather changes, assets degrade, or capacity gets tight?, • How do we build financial and operational systems where every transaction, part, order, and aircraft state is traceable?, • How do we automate workflows across manufacturing, supply chain, fulfillment, and field operations without losing correctness?, • How do we design software that scales across countries, metros, verticals, and millions of deliveries? These are production systems with immediate operational and business consequences. You’ll have real ownership, make technical and product decisions, and help shape how Zipline scales. You may be a strong fit if you: • Have experience building and shipping production software systems, • Bring strong full-stack fundamentals across frontend, backend, services, and data, • Can turn ambiguous, high-stakes problems into simple, reliable software, • Combine product instinct with systems judgment, • Care deeply about reliability, correctness, usability, and operational trust, • Enjoy working directly with users and stakeholders to understand real workflows, • Want to shape architecture and product direction, not just implement scoped features, • Are excited to use modern AI tooling to increase velocity while maintaining strong engineering rigor Our current stack includes Go, Python, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we care more about your ability to learn quickly and solve the right problems than your experience with any specific tool. The starting cash range for this role is $200,000 - $270,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Location: Remote (with occasional travel) Base Location: Salt Lake City, UT, US Employment Type: Full-time Salary Range: $150K - $260K (Based on YOE; potential flexibility for more tenured candidates) We are a rapidly growing, well-funded technology company trusted by enterprise clients, developing a leading AI-powered platform for a specialized professional sector. Join our small, highly efficient engineering team to take ownership of complex systems and ship features quickly in a high-velocity, modern tech stack environment. We are looking for a Staff, Senior, or Principal Software Engineer with a strong background in software engineering leadership to drive the design, implementation, and reliability of our core product. You will take full ownership of features from concept to production in a distributed, modern stack. • Ship features rapidly within an Elixir/Phoenix/LiveView monolithic application, taking full accountability for the entire feature lifecycle, from design through deployment., • Build and maintain numerous third-party integrations (currently 30+) using consistent adapter patterns and the Tesla/Finch HTTP client stack., • Work within and enhance a distributed Elixir environment (libcluster on Kubernetes) to ensure exceptional scalability, reliability, and performance., • Contribute to system quality by utilizing LiveView tests, Hammox for contract testing, and Wallaby for end-to-end user flows., • Utilize advanced observability tools (GCP logging, AppSignal, Prometheus, Grafana) to debug complex systems and continuously improve performance., • Engage directly with cutting-edge LLM-powered features, including prompt routing, caching, JSON mode, function calling, embeddings (pgvector), and evaluation frameworks., • Collaborate on a fully defined, version-controlled infrastructure where all components are managed by Terraform within a GCP/GKE environment., • Embrace an author ownership culture: write, test, ship, and be responsible for the reliability of your code in production., • Experience: 5+ years of experience in a software engineering leadership role (Staff, Senior, Principal, or equivalent)., • Core Proficiency: Strong, practical experience with the Elixir, Phoenix, and LiveView framework., • Distributed Systems: Experience designing and debugging distributed applications running on platforms like Kubernetes (GKE)., • Testing/Quality: Proven ability to implement comprehensive testing strategies, including LiveView tests and E2E testing., • Infrastructure as Code (IaC): Direct experience with Terraform for managing cloud and application infrastructure., • AI/LLMs (Preferred): Familiarity or experience with developing robust systems that utilize LLMs (e.g., prompt engineering, caching, function calling, or vector databases like pgvector)., • Ownership: A demonstrated history of taking features from end-to-end, including high commitment to production reliability and performance monitoring., • Work Style: Thrives in a high-velocity culture with daily small feature/bug fix deployments and multi-day, rather than multi-week, feature cycles., • Highly competitive salary package ($150K - $260K) based on experience., • Meaningful early-stage equity (0.066% - 0.1%)., • Fully Remote work arrangement, offering flexibility (occasional travel for team collaboration is encouraged)., • Work with a modern and highly efficient tech stack including Elixir, Phoenix, LiveView, Rust/Rustler, and Terraform/GCP/GKE., • The opportunity to build industry-leading AI tools that automate mission-critical tasks for enterprises. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

About Nexus Nexus is the engine for verifiable finance — a blockchain designed to natively embed the world’s financial system into one compounding system. Built to support every major financial market on a single global exchange, Nexus unifies infrastructure that has historically been fragmented across chains and intermediaries. Headquartered in San Francisco with a growing presence in Buenos Aires, Nexus is proud to be a cross-continental team of engineers, cryptographers, and market builders. We’re investing deeply in the Latin American ecosystem — and always looking for world-class talent to join us. Nexus is backed by leading investors, including Pantera, Lightspeed, Dragonfly, Faction, Blockchain Builders Fund, Alliance, and SVA, and works with more than 100 partners across the global finance and blockchain stack. We're hiring a Junior/Mid Infrastructure Engineer in Latin America to support and help build the core infrastructure powering Nexus's Layer 1 blockchain and its high-performance DEX, enshrined at the protocol layer. This role focuses on distributed infrastructure supporting financial workloads that demand reliability and performance. You'll work closely with senior engineers, product, and protocol teams while contributing remotely from Argentina or broader LATAM. This is a great opportunity to grow your career working on infrastructure at the heart of a global execution system — from public testnet through mainnet. What You'll Do Support the deployment and maintenance of distributed infrastructure powering Nexus's L1 blockchain and DEX. Assist in optimizing transaction pipelines for speed and reliability under senior guidance. Contribute to building secure, production-grade systems that meet performance requirements. Help maintain high-availability infrastructure across cloud and distributed environments. Learn and apply best practices for observability, reliability, and secure operations. What Success Looks Like Reliable contribution to a stable mainnet with consistent uptime and availability. Active participation in improving DEX performance and latency. Quickly ramping up on internal tooling and workflows — first meaningful contribution within the first month. Growing comfort with high-performance benchmarking and infrastructure tuning. Positive collaboration with the team and consistent delivery on assigned tasks. Must-Have 1–3 years of software engineering experience, with some exposure to infrastructure or distributed systems. Working knowledge of Rust, Go, or another systems language. Basic understanding of distributed systems concepts (consensus, fault tolerance, latency). Hands-on experience with Docker; familiarity with Kubernetes is a plus. Exposure to observability tools such as Prometheus, Grafana, or similar. Familiarity with Infrastructure-as-Code tools such as Terraform or Pulumi. Basic experience with at least one major cloud provider (AWS, GCP, or Azure). Eagerness to learn secure, fault-tolerant infrastructure practices. Good written and spoken Business English. Experience running distributed blockchain infrastructure, validator networks, or Layer-1 systems. Knowledge of MEV mitigation, transaction ordering fairness, or decentralized exchange infrastructure. Experience optimizing consensus or transaction pipelines for determinism and low latency. Familiarity with zero-knowledge proofs or cryptographic Build the distributed infrastructure behind a next-generation Layer 1 blockchain. Work on systems where infrastructure performance directly shapes the end-to-end trading experience. Collaborate with top engineers in AI, cryptography, runtime systems, and distributed consensus. Shape primitives and infrastructure designed for long-term correctness, performance, and global scale. Join a high-performance engineering culture where deep technical work is valued and expected.

Site Reliability Engineer OXIO is the first NeoTelco. We are building the world’s largest, most accessible, and insightful Telecom network. Our platform empowers anyone to spin up their own carrier from a browser, scaling and supporting you as you scale your network to millions of users. We ensure that users and devices are connected, and stay connected wherever they go: Cross- country, carrier, or cellular technology. We help them pay less for mobile data. This technology is provided through our Carrier-as-a-Service platform: BrandVNO, a fully customizable telecom service. In addition, we enable clients of our service to extract the value from telecom data - enriching their customer experience, business intelligence, and product understanding in the many markets in which we operate. Come join us in creating a modern technology platform with a group of engineers dedicated to advancing our vision. Our team is passionate about what we build, open to new ideas and challenges, and has our sights set on the future of connectivity. Responsibilities Design and implement platform on the cloud to support OXIO backend services Automate technical operations: deployments, scaling, recovery, etc. Monitor and maintain mission-critical production infrastructure to ensure maximum uptime Participate in an on-call rotation and culture of continuous improvement through blameless postmortems Enable the Engineering/Telecom/Data Engineering teams by providing them the tools to operate the service they build Understanding of Linux/Unix systems (most systems are Linux-based). Familiarity with Linux/Unix system internals like process management, filesystems, memory management, and networking. Proficiency in at least one programming language (Python, Go, or Ruby) and strong skills in scripting (Bash, Perl). Experience with infrastructure provisioning tools such as Terraform, CloudFormation, or Ansible. Familiarity with containerization (Docker) and orchestration tools (Kubernetes). Familiarity with monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of setting up alerts, analyzing logs, and creating dashboards for observability. Familiarity with incident management practices (e.g., runbooks, postmortems). Experience in being part of an on-call rotation and handling incidents. Experience in setting up and maintaining Continuous Integration/Continuous Delivery pipelines (Jenkins, GitLab CI, CircleCI, etc.). Hands-on experience with cloud providers (AWS, Google Cloud, Azure). Knowledge of virtualization technologies (VMware, KVM) and cloud-native architecture. Understanding of TCP/IP, DNS, HTTP/HTTPS, load balancing, and firewalls. Strong understanding of deployment strategies (canary releases, blue-green deployments, etc.). Familiarity with high availability and understanding failover mechanisms. Familiarity with IAM (Identity and Access Management) and zero trust principles. Experience working with distributed systems (e.g., Kafka, Cassandra, Elasticsearch). Building custom monitoring tools or writing complex automation scripts. Functional knowledge of database management (SQL and NoSQL). Familiarity with distributed tracing (Jaeger, OpenTelemetry) and advanced log aggregation strategies (ELK stack, Splunk). Familiarity with performance profiling tools and optimizing application performance under heavy load. Familiarity in load testing and identifying bottlenecks. Familiarity with Configuration Managment using SaltStack for maintaining server configurations.

Senior DevOps Engineer We’re _! AI For Financial Advisors If you’re a DevOps engineer who loves building and scaling infrastructure with Terraform, GCP, GitHub Actions, and Kubernetes (GKE) — and the following sounds fun to you — come help us build an awesome product & company! We have an efficient hiring process that takes about a couple of weeks from when you apply to when you receive an offer! Interview Process 15 minute screening interview 40 minute live coding exercise A paid trial week where you build a feature we really need, attend our morning team meeting and meet team members. At least 5 years of experience in DevOps/SRE/Infrastructure roles, with at least 3 years at a senior level. Deep expertise with Terraform and Infrastructure-as-Code practices. Strong experience with GCP (Google Cloud Platform), including networking, IAM, GKE (Kubernetes), Cloud SQL, and logging/monitoring stacks. Proven track record designing, scaling, and operating distributed systems in production. Hands-on experience with CI/CD pipelines (GitHub Actions is a plus!). Knowledge of observability tools (Prometheus, Grafana, or equivalents). Comfort with system design tradeoffs, performance optimization, and reliability engineering. Ability to design resilient, secure, and cost-effective infrastructure for fast-moving engineering teams. Experience setting up scalable Kubernetes clusters and managing production workloads. Familiarity with security and compliance requirements (SOC 2, Vanta, etc.). Strong written and verbal communication skills. Experience leading technical initiatives across teams, building consensus, and mentoring others. Founder-minded: proactive, self-driven, and eager to take ownership of problems end-to-end. Infrastructure: 100% Terraform-managed (GitHub, Cloudflare, GCP, etc.). Hosting: GCP, GKE (Kubernetes), Cloud SQL (Postgres with replicas). CI/CD: GitHub Actions with automatic staging environments for every PR. Monitoring/Observability: GCP logging, Prometheus, Grafana. Culture: No gatekeeping—engineers own their code and infra. Self-driven, high velocity. Compliance: SOC 2 with Vanta. Other perks: Automatic previews for every change, easy debugging via interconnected admin tools, low operational overhead. Here’s some more stuff engineers want to know We’re a small and efficient dev team We’re growing gangbusters. All revenue-backed, super low churn. Raised a $20M series-A a few months ago Health/Dental/Vision insurance 401k (no match right now) Take the time you need PTO (4 weeks-ish, but we don’t keep track) $150k-$210k depending on experience HQ based in SLC, Utah Fully remote OK (must reside in the USA). We’d like it if you’d fly in occasionally to get to know you.

At Stigg, we’re reinventing how software companies manage pricing and packaging, making it effortless, flexible, and developer-first. We’re building for builders: the engineering and product teams shaping the next generation of SaaS. Trusted by companies like Miro, Webflow, PagerDuty, Upwork, Qlik, and Productboard, Stigg helps SaaS teams turn monetization into a growth engine instead of a bottleneck. Now we’re looking for a Community Manager to own and grow HTTP 402, our invite-only community for technical monetization leaders. HTTP 402 is already becoming the room where the “who’s who” of SaaS builders come to compare notes, swap lessons, and shape what modern monetization looks like. Members include leaders from companies like Anthropic, Webflow, Docker, Framer, Amplitude, HubSpot, 1Password, Grafana Labs, Wiz, Lovable, Auth0, MongoDB, and Zendesk, and the waitlist is growing fast. This role is all about community-first energy and ownership. You’ll run the day-to-day, plan experiences people genuinely look forward to, and help make HTTP 402 feel like the most valuable “backstage pass” in SaaS. This is a great role for someone who’s hungry to build something from the ground up, loves being the person who brings people together, and is excited to create real momentum, online and in real life. You’ll run HTTP 402 end-to-end: membership, programming, engagement, and experiences, and you’ll make it feel premium, personal, and alive. Your day-to-day might include: Owning the HTTP 402 member experience, from invite flow and onboarding to engagement loops and community rituals. Planning and hosting events members actually want to attend, including: fun, curated nights out in SF intimate dinners / happy hours virtual roundtables and AMAs meetups around major moments in SaaS + AI monetization Being the “connector”: sparking intros, connecting members, and building relationships 1:1 across the community. Managing community communications, including newsletter-style updates, event invites, announcements, and member spotlights. Developing a programming cadence (weekly / monthly rhythms) that builds trust, consistency, and energy. Keeping the quality bar high: making sure the room stays curated, relevant, and worth showing up for. Working closely with marketing + product to pull insights from the community and turn them into stronger narratives, content ideas, and community moments. Owning outcomes: attendance, engagement, retention, and growth, and constantly iterating to improve the experience. You’re a natural host. You’re the person who makes rooms feel easy, warm, and high-signal. You don’t need a “big brand” resume, you need great instincts for people, taste, and momentum. You’re energized by creating experiences and taking full ownership. You might describe yourself as: high-energy, social, and proactive organized, dependable, and calm under pressure the person who actually makes things happen confident reaching out to senior people and getting them to show up someone who loves events, community, and building relationships scrappy, creative, and excited to build something from 0 → 1 You’re comfortable speaking with senior engineering and product leaders, and you can communicate in a way that feels thoughtful, human, and credible. We’re optimizing for potential, ownership, and community instincts over a specific number of years. Experience running or supporting a community, events, or member programming (startup, student groups, creator communities, developer groups, accelerators, meetups, all count). Strong communication skills (written + verbal) and native-level English. Comfortable coordinating logistics and executing events end-to-end. High attention to detail and strong operational habits (you’re organized and follow through). Passion for tech ecosystems (B2B SaaS, developer tools, AI, infrastructure, product communities). Based in San Francisco. Have experience with Slack/Discord/CRM tools, event platforms, or community tooling. Love writing and can create simple community content (recaps, intros, short posts). Have hosted meetups, salons, dinners, webinars, or event series. Have worked with technical audiences (engineers, PMs, founders, operators). Stigg is transforming how modern software companies sell and monetize. Our APIs power the monetization infrastructure behind some of the fastest-growing SaaS products in the world, and HTTP 402 is becoming the community where those leaders meet to define what’s next. Joining now means joining early, owning a high-leverage initiative, and helping shape a category-level community from the inside. You’ll have real autonomy, real visibility, and the chance to build something people genuinely care about. If you’re excited about bringing smart people together, creating experiences that feel special, and building a community that becomes a real industry force, we’d love to meet you. Stock options, competitive salary, latest MacBook Pro. This is a remote role, open to candidates based in San Francisco. We collaborate asynchronously and meet regularly for virtual team syncs, offsites, and customer sessions. We value flexibility and trust, you’ll have the autonomy to design your workday while staying deeply connected with the team.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out and connect with us on and _. Job summary: The Database Reliability Engineer (DBRE) is responsible for managing, building, maintaining, monitoring, and troubleshooting the cloud-based database infrastructure that our mission critical SaaS application runs on. The DBRE role is also responsible for improving processes via automation\coding to reduce toil. They will be liaising with engineering and SRE teams to aid in bringing new products to market that require database support.The DBRE role is also responsible for improving processes via automation\coding to reduce toil. They will be liaising with engineering and SRE teams to aid in bringing new products to market that require database support. • Work on observability of relevant database metrics and make sure desired database objectives are met. Work with DBA team to understand areas of toil. Implement automations\processes to help manage PCC's database systems at scale. Implement a data-driven approach to performance and availability improvements to stakeholder database systems Provide database expertise to engineering and SRE teams (review of database migrations, queries, performance optimizations, standardize configurations and deployments of new database systems). Assist DBA team in performance troubleshooting and root cause analysis. Qualification and skills:•7+ Years working with relational databases systems (3+ at a Senior, lead or architect level)•2+ years in a DBRE or SRE role •Experience working in the cloud (AWS, GCP or Azure)•Coding \ Automation Experience•Experience working with IaC tools such as Ansible, Terraform.•Experience working with source control such as GIT.•SQL Server experience preferred, MySQL, PostgreSQL nice to haves•Experience working with VLDBs (1+ TB) and managing a large number of databases (100+)•Languages such as Powershell, C#, SQL, Python Additional experience with the following tools\systems a plus: Git, Jira, Azure Data Factory, DataBricks, Grafana, InfluxDB and flavors of NoSQL databases. **Some on-call or after-hours work will be required$146,000 - $162,000 a yearAt PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $146,000-162,000 (not overtime eligible) + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process. PointClickCare Benefits & Perks: Benefits starting from Day 1!Retirement Plan Matching Flexible Paid Time OffWellness Support Programs and ResourcesParental & Caregiver LeavesFertility & Adoption SupportContinuous Development Support ProgramEmployee Assistance Program Allyship and Inclusion CommunitiesEmployee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. When you apply for a position, your information is processed and stored with Lever, in accordance with . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI's benefits across all sectors of the economy. This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions. This is a high-agency role that spans all API Engineering teams: API Core owns the foundational reliability and performance of the Claude API; API Capabilities ships frontier model capabilities—vision, tool use, computer use—directly to developers; API Knowledge builds retrieval and grounding systems that let Claude reason over external data; API Distributability ensures Claude reaches customers wherever they need it, with the enterprise-ready infrastructure to support it; and API Agents builds the infrastructure for long-horizon agentic workflows in production. Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents. Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams. Serve as the primary technical decision-maker for major architectural decisions with org-wide scope. Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment. Mentor and develop Staff-level engineers across the org. Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks. Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level. Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms. Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust. Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths. Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike. Bring strong product instincts and a craftsperson's approach to API design; you communicate clearly with both technical and non-technical audiences. Languages: Python, TypeScript Frameworks: FastAPI, React Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore Tools: Feature Flagging, Prometheus, Grafana, Datadog Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in New York or the San Francisco Bay Area as these positions are part of an SF- or NY-based team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit _ directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about _ for using AI in our application process

Apogee Global RMS is looking for a Senior AI Engineer who will lead the design, development, and deployment of advanced GenAI and LLM‑powered solutions across cloud platforms. This role requires deep expertise in modern AI architectures, hands‑on experience with large‑scale model development, and the ability to build secure, scalable, cloud‑native systems. Qualified professional will collaborate closely with engineering, data, and product teams to deliver high‑impact AI capabilities that accelerate innovation across the organization. Key Responsibilities: • Architect and implement GenAI and LLM‑based systems, including fine‑tuning, evaluation, and optimization, • Build scalable pipelines for data processing, model training, inference, and continuous improvement, • Deploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native services, • Integrate embeddings, vector search, and RAG pipelines into production environments, • Optimize GPU/accelerator utilization for distributed training and high‑performance inference, • Develop automation for CI/CD, MLOps, observability, and model lifecycle management, • Ensure cloud security, compliance, and cost‑efficient resource allocation, • Evaluate emerging AI frameworks, tools, and cloud services to drive innovation, • Partner with cross‑functional teams to translate business needs into technical solutions, • 5–8+ years of experience in AI/ML engineering or cloud‑based AI development, • Strong proficiency with Python and AI/ML frameworks (PyTorch, TensorFlow, JAX), • Hands‑on experience with LLMs, transformers, embeddings, and fine‑tuning techniques, • Expertise with cloud platforms (AWS, Azure, or GCP) and services supporting AI workloads, • Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures, • Strong understanding of MLOps, CI/CD, containers, and orchestration (Docker, Kubernetes), • Familiarity with GPU optimization, distributed compute, and model performance tuning Preferred Skills: • Experience building GenAI‑Powered applications and automation systems, • Knowledge of data engineering, ETL pipelines, and feature stores, • Familiarity with observability tools (Prometheus, Grafana, CloudWatch), • Understanding of cloud security best practices and zero‑trust principles, • Background in real‑time inference and scalable microservices What We Offer: • High‑impact role shaping the future of GenAI and cloud‑native AI systems, • Opportunity to work with cutting‑edge LLMs, cloud platforms, and emerging AI technologies, • Collaborative, innovative, and growth‑driven environment How to Apply For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com

Job Description The Senior Quality Assurance (QA) Engineer I is responsible for identifying performance issues, debugging complex application errors, and validating the system under various infrastructure configurations. Additionally, the Senior Quality Assurance Engineer will incorporate those infrastructure configurations into automated test frameworks and test suites. This role requires deep troubleshooting skills to parse logs and stack traces, determining reproducible steps for high-complexity issues, and a strong understanding of what key performance metrics to be analyzing for an application. This is a full-time position with remote, hybrid and on-site opportunities available. Responsibilities Identifying high-priority performance issues within a complex application environment, including the debugging of errors and parsing of logs and stack traces. This also includes evaluation and implementation of AI-based monitoring and diagnostic tools to accelerate root cause analysis Leveraging Generative AI to accelerate the creation of complex performance scripts and the generation of large-scale synthetic test data Working with other divisions (Support, Sales engineering, etc) to stay up-to-date on the performance of Ignition, and to gather information on common customer setups for the variety of different industries that Ignition is used in Debugging complex issues within the tech stack (Web Browser, Java applications, Mobile applications) in order to analyze resource usage, and creating actionable strategies as a result of the profiling analysis Utilizing tools like Wireshark for traffic filtering and packet analysis to troubleshoot network-related performance issues Using and developing tools for quick application development and infrastructure deployment (Docker, Vagrant, Terraform) to simulate various production environments Setting-up and querying SQL databases (MS SQL Server, MySQL) to analyze data integrity and query performance Demonstrating sufficient proficiency in relevant Ignition product areas, and adequately testing all areas Maintaining a proficient understanding of the company, our primary software deliverable and its purpose (Ignition), and our customer base Collaborating with Developers, Product Managers, and QA Generalists to clarify requirements and provide feedback on functionality, usability, and performance Identifying, documenting, and tracking defects using issue tracking tools, ensuring clear communication and resolution processes Staying up to date with industry trends, tools, and technologies to continually enhance testing strategies Breaking down complex performance automation development efforts into simpler phases that can be taken on by less experienced engineers Prioritizing unowned or undesirable work that enables the team to move faster Demonstrating autonomy without sacrificing quality or delivery time; resolving and overcoming medium scale blockers or challenges Working with the Quality Assurance team and adjacent teams to solve performance problems; escalate problems that have wider scope Building relationships with stakeholders which may include customers, product managers, cross-functional partners, and external partners Ensuring that knowledge is shared amongst the team and does not position themselves or others as a single point of failure Resolving impactful performance automation tasks that improve the execution of the Support Division, Training Department, Sales Division, etc Working towards and maintaining an advanced understanding of industries that use Ignition, our customer base, and the purpose of SCADA software Staying knowledgeable about the company, its values, each division's contributions, and the company's industry contributions Helping junior engineers with issues and support them with their technical growth Improving team strength by advising managers and other leaders with insights and recommendations Requirements Bachelor’s degree in Computer Science/Engineering OR at least 4 years experience working in a related field Must have at least 5+ years of experience in a test automation engineering role focused on performance testing Performance testing experience in the following areas: Proficiency in tools like JMeter, K6, or Gatling Experience with APM tools like Grafana/Prometheus Strong understanding of HTTP/HTTPS protocols and REST APIs Strong programming knowledge and proficiency with at least one language, including understanding of functions, conditional statements, and intermediate/advanced object oriented concepts (Python, Java/JavaScript, TypeScript, C#, C++) Strong troubleshooting skills within a complex application environment, including debugging of errors, identifying performance issues, parsing of logs and stack traces, and determining reproducible steps for issues Experience with coding in at least one modern IDE (Eclipse, IntelliJ IDEA, PyCharm) Thorough understanding of the SDLC (Software Development Lifecycle) and each of the phases Strong proficiency with source control management systems, such as Git, and common usage (clone and checkout of repositories and specific branches, commits and merge conflicts) Experience with setup and querying of SQL databases (MS SQL Server, MySQL, similar) Familiarity with Windows, Linux (Ubuntu), and macOS platforms, including working from the command line, and debugging issues with applications running as a service Proficient with deploying applications using virtualization software (VMWare, Docker Desktop, Kubernetes), including creating images, debugging running containers, and use of persistent data (volumes) Strong experience with bug tracking systems and writing proper bug reports Skills not required, but a plus: Experience using agentic AI in support of software quality activities, utilizing strategic implementation and proper governance. Experience with tools for quick application development and infrastructure deployment (Docker, Vagrant, Terraform, similar) Debugging of Java platform and Swing/JavaFX applications using JProfiler (or similar profiling tool) Experience with Maven and Gradle build tools, especially in coordinating builds with automated testing Configuring continuous integration/continuous development servers (Jenkins), including creating and maintaining jobs/pipelines Familiarity with manufacturing industry and HMI/SCADA software Champions for industrial automation innovation and driven by a mission statement to empower our customers to swiftly turn great ideas into reality by removing all technological and economic obstacles, we create and deliver solutions that relieve pain points, bring efficiency to operations and optimize integration. Our passion goes beyond customers. We celebrate your personal and professional milestones, and we support our teams with meaningful work in a collaborative environment. We find that great work-life balance inspires teams to do their best work and empowers people to live their best lives. That's why diversity, fun, and flexibility are ingrained into our work culture. The Inductive Automation team understands the importance of personal growth and social connection. So things like time for professional development, or company and team activities are baked right into the schedule to keep us all engaged, connected, and prospering. 100% Employee Covered Health Care: Don’t pay a dime for your medical, dental, and vision insurance Paid Time Off: Receive paid holidays, vacation, and sick time 401k with Match: Save for the future with our company-matching 401k program World-Class Headquarters: While on-site, enjoy complimentary snacks and beverages, then challenge a friend to a game of pool, table tennis, shuffleboard, or foosball Adjacent Nature Reserve: On-site employees enjoy breathtaking views and adventures that energize and inspire At this time, we are unable to offer employment for individuals located outside of the United States and/or those who require sponsorship for employment visa status (e.g., H-1B visa status). We know you've got a lot of options when seeking an employer where your skills and talents will shine, so we really appreciate that you considered us. Inductive Automation, LLC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, sexual orientation, gender identity, and status as a protected veteran or individual with a disability. Verification of US employment eligibility required.

Weave is looking for a foundational Senior Backend Engineer - Performance to establish and lead our performance engineering practice. Weave recently acquired Truelark, and we are preparing to onboard a massive wave of new customers onto their platform. Your first mission will be to ensure the Truelark platform can scale flawlessly, directly safeguarding customer experience and revenue during a critical business transition. This is a high-stakes, high-impact challenge that requires immediate, expert-level engagement to define performance baselines, identify bottlenecks, and guarantee reliability under unprecedented load. Beyond this initial challenge, you will be the founding member of Weave's performance engineering discipline. Your long-term strategic mission is to tackle the complex, "third-order" performance issues that arise in our distributed microservices architecture—the subtle inflection points between services that are a leading cause of incidents. This involves moving beyond testing individual components to understanding and fortifying the systemic behavior of our entire platform. As a key member of the Test Infrastructure team, your mandate is not just to test, but to build. You will create the paved-road for performance testing at Weave, developing frameworks, tooling, and reference implementations that empower hundreds of engineers to "move fast without breaking things". This role requires a platform-oriented mindset, where the primary goal is to enable and multiply the efforts of others, embedding performance as a core component of the software development lifecycle at Weave. This is a unique opportunity to build a critical engineering function from the ground up, with the autonomy to select tools, define methodologies, and shape the future of reliability and performance at a rapidly growing public company. If you are a software engineer with a passion for performance, a talent for building developer-centric tools, and a drive to solve complex systems-level challenges, we want to hear from you. This position will be remote, in the US Reports to: Engineering Manager What You Will Own (Responsibilities) Architect and Execute Performance Strategy for Truelark Scaling: Immediately take the lead on the end-to-end performance testing, analysis, and tuning for the newly acquired Truelark platform. This involves defining key performance indicators (KPIs) and service level objectives (SLOs) based on business requirements, establishing performance baselines, and executing a comprehensive suite of load, stress, spike, and endurance tests. Your work will be critical to ensuring the system can handle the projected influx of Weave customers without degradation, directly preventing customer churn and protecting revenue. Design and Build a Self-Service Performance Testing Platform: Architect, build, and maintain a scalable, automated performance testing framework deeply integrated into our CI/CD pipelines (e.g., GitLab CI, GitHub Actions). The ultimate goal is a "paved road" experience that enables any developer at Weave to easily configure, execute, and analyze performance tests for their services with minimal friction. This platform should be built with a developer-centric mindset, abstracting away the complexity of infrastructure provisioning and test execution while providing powerful, actionable results. Champion and Codify Performance Best Practices: Develop and document reference implementations for performance testing critical path systems, particularly our Go-based microservices running on Kubernetes. You will create clear documentation, run workshops, and act as the organization's subject matter expert on performance engineering. A key part of this responsibility is to address the "knowledge and process gaps" around performance testing methodologies that currently exist at Weave, fostering a culture where performance is a shared responsibility. Conduct Deep-Dive Bottleneck Analysis and System Tuning: Go beyond surface-level metrics to perform deep root cause analysis of performance bottlenecks in our distributed architecture. You will be responsible for investigating and debugging the "3rd order" incidents that arise from complex service interactions. This requires leveraging advanced observability tools (Prometheus, Grafana, Datadog) and application profiling tools to provide concrete, actionable recommendations to service owners for code and infrastructure improvements. Define and Monitor Service Level Objectives (SLOs): Partner closely with infrastructure and product teams to define, measure, and monitor SLOs for latency, throughput, and availability of critical services. You will use the performance testing platform to continuously validate that services can meet their SLOs under various load conditions and proactively identify performance regressions before they impact customers in production. This work directly connects the performance engineering function to Weave's broader reliability and customer satisfaction goals. What You Will Need to Accomplish the Job (minimum qualifications- education, experience, certifications, skills) Experience: 5+ years (for Senior level) or 8+ years (for Staff level) of professional experience in roles such as Performance Engineer, Software Engineer in Test, SRE, DevOps, or Software Engineer with a deep focus on the performance, scalability, and reliability of large-scale distributed systems. Programming Proficiency: Strong software development fundamentals and significant hands-on experience building, testing, and maintaining complex applications or infrastructure using Go and/or Python. Proficiency in Go is highly desired to align with our primary backend language and to contribute effectively to our microservices ecosystem. Kubernetes Expertise: Deep, hands-on expertise with Kubernetes concepts, architecture, and workflows is required. This includes experience deploying and managing containerized applications, as well as understanding the nuances of performance tuning within a Kubernetes environment. CI/CD Mastery: Proven ability to design, implement, and optimize complex CI/CD pipelines to integrate automated testing, including performance testing. Experience with tools like GitLab CI, GitHub Actions, or similar is essential. Performance Testing Expertise: Expert-level understanding of performance testing methodologies, including load, stress, spike, endurance, and scalability testing. Demonstrable experience designing and implementing test strategies for complex microservice architectures, including identifying appropriate metrics and acceptance criteria. Systems Thinking Acumen: Exceptional analytical, debugging, and problem-solving skills with a proven ability to diagnose and solve complex, cross-service performance issues in distributed systems. You don't just find bottlenecks; you understand the systemic reasons they occur and can articulate the broader architectural implications. Collaboration and Communication: Excellent communication skills (verbal and written) with the ability to articulate complex technical ideas clearly and effectively to diverse audiences, including engineers, product managers, and leadership. What Will Make Us Love You (preferred qualifications- including personality traits) Modern Tooling Experience: Hands-on experience with modern, script-as-code performance testing tools, particularly k6 (preferred) or Locust. Experience building custom tooling, libraries, or frameworks around these tools to enhance developer experience is a significant plus. This demonstrates an alignment with our "test-as-code" and developer-enablement philosophy. Observability Expertise: Proficiency with modern observability stacks (e.g., Prometheus, Grafana, Datadog, ELK) and extensive experience using metrics, distributed traces, and logs to correlate application performance with underlying system behavior during performance tests. Go-Specific Performance Skills: Experience with Go-specific profiling and debugging tools (e.g., pprof). Familiarity with the xk6-g0 extension for writing k6 tests directly in Go would also be a plus, as it represents a unique and powerful intersection of the exact skills required for this role: deep Go expertise combined with a modern approach to performance engineering. Internal Platform Development: A proven track record of building internal developer tools, platforms, or frameworks that have measurably improved engineering productivity, velocity, and software quality within an organization. Weave Tech Stack Familiarity: Direct experience testing Go-based microservices environments and systems utilizing Kafka, NSQ, Postgres, and/or gRPC. Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws. At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page. Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know. Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.

About Gnosis Pay Gnosis Pay is a pioneering financial infrastructure company bridging traditional finance and blockchain. As the first permissionless payment network, it enables integration with existing financial systems through a developer-friendly API. Powered by Safe Smart Accounts, Gnosis Pay offers innovative solutions, including the world’s first self-custodial Visa card, fee-free stablecoin on-ramping, and DeFi-powered financial services. By unlocking new possibilities for wallets, fintechs, and businesses, Gnosis Pay is reshaping global payments with secure, scalable, and composable infrastructure. Our tech stack: • Cloud Computing providers: AWS, Google Compute Engine, • Container orchestrators: Kubernetes, AWS ECS, • Continuous Integration: Github Actions, • DevOps Tools: Prometheus, Grafana, Loki, AWS Cloudwatch, • Infrastructure as a code: TerraformWhat you'll do: We're looking for a Senior Devops Engineer based in Europe to enhance our infrastructure and support our development team. • Design, build, and maintain distributed cloud infrastructure and platform services with a collaborative approach with Software Engineers, • Work on scaling, automation, reliability and observability of services, • Troubleshoot production issues across services and multiple levels of the stack, • Identify security gaps proactively and design & implement effective preventative controls, • Participate in roadmap planning and prioritizationMinimum Requirements, • Proven track record of building large scale, cloud based complex distributed systems; identifying shortcomings and optimization opportunities; and making data driven cost performance tradeoffs to influence design decisions, • Empathy, strong communication skills and a deep respect for the power of collaboration, • The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership, aiming to enable developers to self-service as much as they can, • Experience in system administration and writing infrastructure as code (e.g. Terraform) in a high-stakes production environment, • Ability to manage multiple concurrent projects and initiatives, • Experience handling critical incidents for production systemsPreferred Qualifications, • Software engineering experience, • Linux system administration knowledge, • Understanding of topics such as platform hardening, malware detection, and endpoint management through configuration as code, • Strong written and verbal communication skills for different audiences (leadership, users, stakeholders etc.), • Uphold high standards for engineering and product quality and mentor other team members to do the same, • Hold yourself and others to a high bar when working with production, • Personal Development: Pursue your professional goals with our support, including personal education budgets and conference allowances. We invest in your growth and learning., • Innovation and Experimentation: Interested in exploring new ideas? Dedicate your Friday afternoons to research or work on a side project within our ecosystem. We encourage creativity and experimentation., • Flat Hierarchy: Navigate with ease in our organization. Our flat hierarchy ensures your ideas and contributions are valued and heard, without getting lost in a complex structure., • Flexible and Remote Work: Not a morning person? No problem! We embrace flexible working schedules and have a long-standing culture of remote work. Balance your professional and personal life in a way that works for you., • State-of-the-Art Equipment: Receive the latest hardware and all the tools you need. We make sure you're well-equipped to do your best work., • Growth and Opportunity: Grow with us in an exciting industry. As Gnosis rapidly expands, so do the opportunities for you to make a significant impact. We value initiative and a proactive approach., • Inclusive and Diverse Culture: At Gnosis, we are committed to creating an inclusive environment that celebrates diversity. We believe our products and services are enhanced by a wide range of perspectives. All qualified applicants will receive consideration for employment without regard to race, ethnic origin, age, religion, belief, marital status, gender identification, sexual orientation, or physical ability., • Community and Mission: Join a team that's passionate about our mission and enjoys working together. We’re not just colleagues; we’re a community driven by a shared goal.

Description Software Engineer in Test Telestream provides world-class live and on-demand digital video tools, workflow solutions and quality monitoring capabilities that allow consumers and businesses to transform video on the desktop and across the enterprise. Many of the world's most demanding media and entertainment companies, and service providers, as well as a growing number of users in a broad range of business environments, rely on Telestream solutions to streamline operations, reach broader audiences, generate more revenue from and ensure the quality of their media. If you're looking for an industry leader in the high growth area of video, Telestream is for you. Position Summary: This is an exciting opportunity to join Telestream's QA automation team as a Software Engineer in Test, working on products used in high profile live events such as sports, music, and reality television, as well as file-based media workflows for broadcast networks and cable companies. In this role, you will go beyond traditional testing to build the sophisticated engineering backbone that ensures our cloud-based media processing and streaming services remain world class. You will own end-to-end test automation using Playwright, integrated into GitHub Actions CI pipelines, and drive automated load and performance testing against REST and GraphQL APIs at scale. Location: US West - Remote Work Authorization - Candidates must be legally authorized to work in the United States. This role is not eligible for employer-sponsored work authorization or visa sponsorship of any kind, now or in the future. *OUR INTERVIEW PROCESS* Our process includes a live, hands-on technical interview conducted via shared terminal and screen share. You will be asked to work through TypeScript and Test Automation scenarios in real time—no take-home exercises, no slides. Candidates who are comfortable with the skills listed above will do well. Candidates who are not, will find this stage difficult to navigate. We value people who are direct about what they know and what they’re still learning. Requirements Responsibilities: • Design, develop, and maintain scalable automated test frameworks., • Build tools for test execution, evaluation, and reporting., • Deploy, configure, and maintain CI/CD infrastructure to support automated testing., • Execute and automate functional, negative, performance, and end-to-end tests., • Create and maintain automated test suites to enable timely product releases with minimal regression risk., • Leverage code coverage and analysis tools to identify gaps and expand test coverage., • Identify, document, and track defects; analyze root causes and verify fixes meet customer expectations., • Debug and troubleshoot complex issues while collaborating closely with software engineering teams. Qualifications: • Bachelor's degree in computer science, network and digital technology, or a related field., • 5+ years of experience in an automated testing role with a technology organization., • Strong proficiency in JavaScript and/or TypeScript., • Hands-on experience with Playwright for frontend and end-to-end test automation., • Experience with automated load testing tools such as Grafana k6, Locust, or similar., • Experience testing REST and GraphQL APIs through scripting or programming., • Hands-on experience with GitHub Actions or comparable CI/CD systems supporting automated testing pipelines., • Experience using Git for version control and team collaboration. Additional Requirements: • Familiarity with digital media workflows, including video streaming, live production, or file-based transcoding., • Knowledge of broadcast and media infrastructure (e.g. SDI, ST 2110, SRT)., • Familiarity with video processing tools (e.g. FFmpeg, OBS)., • Knowledge of object-oriented programming, design patterns, and relational databases., • Experience working with AWS services in a cloud-native testing context., • Familiarity with AI-assisted development tools (e.g. Claude Code, GitHub Copilot, Cursor) to accelerate test scripting and automation. Benefits Perks That Power Your Life We offer a comprehensive package designed to support your health, financial security, and work-life balance. Our benefits are built to keep you healthy, supported, and free to do your best work. • Day-one medical, dental & vision coverage, • 100% company-paid life + disability insurance, • 401(k) with a sweet company match (up to 8%), • Quarterly HSA boosts & flexible spending accounts, • Flexible time off (salaried) or PTO (hourly) + generous paid holidays, • Pet insurance (yes, your dog gets benefits too), • Legal plan + extras like accident & critical illness coverage Telestream is committed to a fair and transparent hiring process. We do not use artificial intelligence (AI) to screen, evaluate, or make selection decisions about applicants. All applications are reviewed by our recruiting team and hiring managers to ensure each candidate receives thoughtful, human consideration based on their qualifications and experience.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. The Context Hub is a knowledge store within Oura's HealthOS platform. It ingests data from diverse sources, transforms it through both pipelines and LLM-based interpretation layers, and serves structured User Context. If Oura's intelligence systems are the brain, the Context Hub is the memory. This is an opportunity to be part of teams that are at the forefront of wearable technology, innovating and defining the future of Oura’s products through collaboration across different teams. This is a platform-building role. You'll design foundational data infrastructure that multiple product teams depend on - not ship features in isolation. • Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context, • Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully, • Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge, • Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines through clean, well-documented interfaces, • Operate and design data storage at scale, • Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction, • Collaborate effectively in a globally distributed, diverse, and cross-functional team, adapting as Oura evolves and new opportunities emerge., • Own production quality end-to-end: testing, monitoring (Grafana, Prometheus, OpenTelemetry), alerting, and documentation At Oura, AI is a core part of how we build software. We encourage senior engineers to use tools like Cursor, Claude Code, and GitHub Copilot to accelerate pipeline development, iterate on schema design, prototype integration patterns, and reduce boilerplate - so you can focus on the hard problems. All code is reviewed and owned by the engineer. AI is a multiplier, not a crutch. We're looking for engineers who view AI as a coworker in the development loop, not just autocomplete. • 5+ years building and operating production data systems at scale in Python, • Experience designing event-driven architectures - message brokers, event streams, CDC pipelines, with understanding of delivery guarantees, fan-out, and backpressure, • Deep experience with data transformation pipelines - ingesting from heterogeneous sources, normalizing, enriching, and serving with clear data contracts, • Strong technical grasp of AWS ecosystems with a focus on varied data storage solutions (RDS, DynamoDB, etc.), asynchronous messaging (SQS, EventBridge), and scalable compute environments like EKS and Lambda., • A data-model-first mindset - you start with the shape of the data and access patterns before jumping to service architecture, • Experience building shared platforms or APIs that multiple teams depend on, with thoughtful versioning and self-service integration patterns, • Strong systems design instincts - you think in terms of data integrity, resilience, and failure modes before they become incidents, • Excellent communication - you explain your thinking before acting, ask incisive questions upfront, and articulate trade-offs clearly, • Have a team-oriented mindset and enjoy working in a diverse environment with distributed teams, • Experience with FastAPI or AWS Lambda Powertools, • Background in health data, wearables, or familiarity with FHIR/SNOMED/ICD, • A privacy-first approach to engineering, with a solid understanding of the best practices for handling sensitive data (PHI/PII)., • Building infrastructure that feeds data to/from LLM-powered services, • Familiarity with feature stores, embeddings, or vector databases, • Experience in building efficient, scalable database schemas and/or query optimization, • Infrastructure-as-code (AWS CDK, Pulumi), • Observability tooling: Grafana, Prometheus, OpenTelemetry, • Experience in globally distributed teams working asynchronously across time zones, • Commitment to continuous learning. You’re someone who stays adaptable and is always looking to expand your technical toolkit as the industry evolves. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,550 - $203,000, • Region 2 $158,950 - $187,000, • Region 3 $147,900 - $174,000 A recruiter can determine your Region based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI). Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

What We Do: Brightwell is a payments company on a mission to make money movement faster, safer, and more accessible — whether across town or around the world. We build the full experience for banks and credit unions: from the mobile interfaces that guide account holders through transfers, to the platform infrastructure powering it all behind the scenes. That means multi-corridor payment routing, partner integrations across financial networks, and real-time compliance and fraud detection — with the reliability requirements that come with moving people's money. We're a 65-person team based in Atlanta, scaling fast as more financial institutions sign on. The work moves quickly, the impact is tangible, and what you build will be in the hands of real users at real institutions. We're looking for bold thinkers to help us get there. Where We Work: This is a remote position open to candidates currently residing in FL, GA, IL, or TX. Atlanta-area candidates will work hybrid (2 days/week in office at The Battery). All other candidates will work fully remote, with quarterly travel to Atlanta required. Who We Need: We’re looking for an Infrastructure Engineer to help bring our Azure infrastructure under Terraform and build the platform our product teams depend on. We have a running production environment; now we need someone to codify it, automate it, and make it self-service. You’ll split your time evenly between platform engineering and operational work, with a clear mandate to reduce the operational burden over time. This is a hands-on technical role with a 50/50 split. Half your time will be spent on platform engineering: Terraforming existing Azure infrastructure, building automation, improving observability, and collaborating with InfoSec on compliance controls. The other half is operational: supporting product teams with infrastructure requests, maintaining CI/CD pipelines, monitoring systems, and responding to incidents. What You’ll Do: Balance platform engineering with operational work (50/50 split). Platform Engineering (50%): • Terraform existing Azure infrastructure. This is the primary mission from day one., • Use AI-assisted tools (Claude Code, Cursor, GitHub Copilot) to accelerate IaC development, automation scripting, and configuration management., • Automate repetitive tasks and build self-service tooling., • Improve observability and monitoring capabilities., • Create runbooks and technical documentation., • Collaborate with InfoSec on security and compliance controls., • Work with your manager (Engineering Manager, Infrastructure & Platform) on platform strategy and priorities. Operational Work (50%): • Support product teams with Azure infrastructure requests., • Manage Azure resources (VMs, Serverless Functions, App Services, SQL, networking, etc.)., • Maintain CI/CD pipelines and troubleshoot deployment issues., • Apply patches, updates, and security fixes., • Monitor production systems health, performance, and costs., • Respond to incidents and participate in weekly on-call rotation. What We’re Looking For: • 5+ years in infrastructure/platform/DevOps roles., • Strong Azure experience (App Services, Serverless, databases, networking, identity)., • Infrastructure-as-code: Terraform or Bicep., • Monitoring: Azure Monitor, Application Insights, Datadog, Grafana, etc., • CI/CD: Azure DevOps, GitHub Actions, or similar., • Scripting: TypeScript, PowerShell, Python, or Bash., • Understanding of networking, DNS, SSL/TLS, mTLS., • Experience leveraging modern AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate infrastructure automation and engineering workflows., • Comfortable with on-call responsibilities. Bonus Points: • Fintech or regulated industry experience (SOC 2, PCI)., • Configuration management: Ansible, etc., • GitOps practices. What Success Looks Like: • First 30 days: Understand our Azure environment, shadow on-call, and start Terraforming your first resources., • First 90 days: Own on-call shifts, have meaningful IaC coverage in place, and establish patterns the team can build on., • First year: Reduce manual ticket volume by 30%, improve deployment reliability, and build self-service capabilities that free the team to focus on platform strategy. On-Call Details: • Weekly on-call rotation (alternating with team)., • Typical escalations: deployment issues, performance problems, outages., • Maintenance window reserved for once a month on Saturday, used as needed. Why Work Here: • Real Ownership & Impact: Take charge of your work with full autonomy — what you build ships to real users at real financial institutions around the world., • Entrepreneurial Spirit: We welcome bold thinkers who are passionate about driving change, solving hard problems, and pushing innovation forward., • Growth & Development: We invest in your career with professional development support and expanding opportunities as we scale., • Flexible & Collaborative Team: Enjoy a remote-friendly environment and a tight-knit, inclusive team with opportunities for both social and professional engagement., • Competitive Benefits: Medical, dental, vision, disability, 401(k) with match, flexible spending accounts, paid parental leave, paid vacation, and more. Brightwell is an equal opportunity employer committed to employing a diverse workforce and sustaining an inclusive culture.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage. As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems. Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity. You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management. This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry. What You'll Be Doing: • Serve as the primary technical point of contact for a portfolio of Grafana customers., • Design the observability maturity journey of customers and assist them on that path., • Provide expert-level troubleshooting and guidance to drive adoption., • Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience., • Advise clients on best practices and strategies for leveraging our technology to achieve their business goals, • Collaborate with clients to develop and execute technical roadmaps., • Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features., • Develop and maintain strong, long-term relationships with key stakeholders., • With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle., • Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment., • Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests., • Conduct training sessions and workshops to educate clients on our technology., • Develop and deliver technical documentation, guides, and tutorials., • Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects., • Prepare and present reports on client metrics, achievements, and areas of focus. What Makes You a Great Fit: • Located in the Washington, DC Area, • Bachelor’s degree in Computer Science, Information Technology, Math or a related field (or equivalent experience)., • Experience deploying and operating Kubernetes., • 5+ years of experience in a technical support, technical account management, consulting, SE or Professional Services role within the technology industry., • Strong understanding of observability solutions. Grafana, Prometheus, and Loki a plus., • Proven ability to manage multiple clients and projects simultaneously., • Excellent problem-solving and analytical skills., • Outstanding communication and interpersonal skills., • Experience with relevant tools and technologies, e.g., CRM software, ticketing systems, specific programming languages., • Ability to travel as needed to meet with clients (up to 25%)., • Identify and provide timely workarounds and solutions to meet a customer’s business needs., • You have some observability expertise, preferably architect level, • First class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. Ability to articulate our value proposition and the technical advantages of our products, • You will love solving technical challenges and thrive on bringing creative solutions to our customers Bonus Points For: • 5+ years of technical sales, TAM or other post sales technical experience, ideally with open source technologies, or in the observability space., • Great at connecting product usage to value (ROI)., • Great at managing customer lifecycle., • You will be creative in solving customer adoption challenges., • You can proactively assist customers with technical issues that may arise and assist in the troubleshooting and root cause analysis., • You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! In the US, the OTE compensation range for this role is $182,000 - $217,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana's SDR function just closed Q1 at 106% globally. We are looking for our next Americas Director to continue this acceleration. We are raising the bar for the SDR function. The incoming Director will manage five frontline SDR managers and 35+ SDRs across AMER, partnering closely with Sales leadership to build a regional motion with operational discipline and AI-enabled workflows at its core. We are looking for people who have already implemented AI into the SDR workflow. If you have already deployed it, measured it, standardized it, and moved on to the next problem, keep reading. Lead AMER. Own the operations from day one. Coach your managers, maintain forecast predictability, and keep SDR-to-AE handover quality high while establishing your footing with senior sales leadership. Drive global AI transformation. The Grafana SDR function is building an AI-native workflow layer: account research, persona research, list building, and personalized outbound, systematized from the output of our best SDRs. Be a practitioner voice in that build, shaping the workflows, deploying them globally, and holding the standard across EMEA and APAC alongside regional peers. Build the future bench. Build the system that develops people, not just pipeline. Run structured development cycles through your managers, create clear progression paths, and measure success by how many SDRs earn their way into AE roles. Partner with AE leadership to make that transition real, and use it as a talent brand, because the best SDR candidates choose orgs where the next step is visible. Own the operational numbers. Pipeline analytics, conversion math, forecast cadence, activity-to-outcome ratios. Know what is under the hood, present it cleanly to regional VPs and global GTM leadership, and own the narrative when the numbers move in either direction. • 8+ years in SDR or pipeline generation, including 3+ years managing managers in a B2B SaaS environment, • Demonstrated, hands-on experience deploying AI tooling into SDR workflows. Not sponsoring the initiative. Building it. You know which tools work, which ones do not, and why, • Proven track record of standardizing playbooks across distributed teams and lifting output without growing headcount. You use efficiency as a lever before headcount, • Strong operational rigor: you track the right metrics, run tight forecast cadences, and surface problems early, • Credible stakeholder presence with VP and C-suite-level GTM leadership. You speak pipeline, not activity, • A builder's instinct: you create systems, not workarounds, • Background in developer tools, observability, open source, or AI/ML. Grafana's buyer profile is technical, • Experience with product-led or usage-based GTM motions: PQLs, free-to-paid conversion, expansion pipeline, • Experience operating in a matrixed global function reporting into a global head and partnering laterally across regions In the US, the OTE compensation range for this role is $195,750 - $225,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable), and other benefits listed on our _ *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts. The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: • Join as an early member of a high growth team working together to solve technical and customer problems the right way, • Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers, • Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility, • Deliver product and technical presentations to potential and existing customers, • Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape, • Drive product conversations based on need and problems learned during customer interactions, • Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: • Ideally located in Greater NYC or Boston Area, • 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running., • We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership, • We are a remote-first company so you would need to learn to work and collaborate with an international team, • You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products, • You will love solving technical challenges and thrive on bringing creative solutions to our customers, • You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!, • You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Analyze data on bad actor behavior patterns to understand their motives and tactics. Recommend strategic short-term and long-term solutions to mitigate their impact. Create and refine detection models that consume machine learning outputs and signals to minimize the presence of bad actors in the ecosystem. Code complex and efficient SQL and Spark queries on datasets in the scale of hundreds of millions of rows. Understand the engineering systems that generate signals and propose new signals that leverage them. Use strong communication skills (written and verbal) to contribute to business ruleset to improve efficacy of rules and their coverage of different abuse segments. Analyze, manipulate, or process large sets of data using statistical software. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Identify business problems that can be addressed through data analysis. Form technical solutions to address complex bad actor detection problems and be drivers and owners of the corresponding domain. Adopt best practices and set high engineering standards for the team, and form engineering recipes for the team to adopt. Mentor and technically lead other members on the team when solving a problem. Oversee platform integrity and user safety by identifying underlying issues and emerging trends in bad actor behavior to maintain a safe and trusted environment for all members. Conduct comprehensive data analytics to identify patterns of bad actors. Utilize statistical software to analyze, manipulate, and process large datasets effectively. Develop and implement enhancements to detection systems, improving bad actor identification and overall performance. Design and execute complex engineering solutions efficiently. Telecommuting may be permitted. When not telecommuting, must report to 285 Hamilton Ave, Palo Alto, CA 94301. Salary: $146,078 - $179,500 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 5 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field, plus 3 years of professional experience as Anti-Abuse Analyst, Business Analyst, or any occupation/position/job title involving data analysis or data science. Must also have experience in the following: 3 years of professional experience analyzing data to identify gaps to recommend and implement improvements to systems; 3 years of professional experience writing big data queries including SQL, Spark or Amazon Redshift; 3 years of professional experience utilizing data visualization tools including Grafana, Mode or Tableau; 3 years of professional experience creating dashboards, visuals, or reports to share insights; 3 years of professional experience exploring data in search for actionable intelligence; 3 years of professional experience performing data analytics in a python notebook environment, including Databricks, Looker, Snowflake, Pandas, or Jupyter; 3 years of professional experience conceptualizing, creating, and implementing algorithms and models; 1 year of professional experience employing best practices (including team mentorship, anomaly detection techniques, ML model validation, A/B testing, and production deployment). CONTACT: Email resume to: _. Specify ad code JYLL. $146,078 - $179,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA.#LI-DNI

We’re _! AI For Financial Advisors If you know Elixir (or would be excited to learn it!) and the following sounds fun to you, please come help us build an awesome product & company! We have an efficient hiring process that takes about a couple of weeks from when you apply to when you receive an offer! Interview Process A 30 minute live coding exercise A paid trial week where you build a feature we really need, attend our morning team meeting and meet team members. Required Qualifications Experience & Technical Expertise Candidates should have at least 12 years of software development experience, with a minimum of 5 years in senior or staff-level engineering roles. Deep expertise in at least one major programming language and ecosystem is essential, along with broad knowledge across multiple languages, frameworks, and architectural patterns. Experience designing and operating distributed systems at scale is required, including understanding of microservices, event-driven architectures, and cloud-native patterns. System Design & Architecture Demonstrated experience architecting large-scale systems that handle significant traffic, data volumes, or complexity is crucial. This includes expertise in areas such as API design, data modeling, system integration, performance optimization, and reliability engineering. You should be comfortable making architectural trade-offs and articulating the reasoning behind technical decisions to both technical and non-technical stakeholders. Leadership & Communication Strong written and verbal communication skills are essential for this role. You must be able to create clear technical documentation, present complex ideas to diverse audiences, and facilitate productive technical discussions. Experience leading technical initiatives across multiple teams, influencing without direct authority, and building consensus around technical decisions is required. Here’s all the stuff engineers want to know All Elixir/Phoenix/LiveView with relatively few dependencies About 30 integrations with a consistent client interface, all based on Tesla (Finch adapter) Consistent patterns across the codebase The latest LiveView and LiveView features Tailwind for styling, default esbuild for js Distributed elixir with libcluster (k8s adapter) Liveview tests, wallaby for e2e tests when js is involved A super powerful and interconnected admin interface so it’s very easy to debug problems and collaborate Great logging and observability with GCP logging, appsignal, Prometheus, grafana, etc Github (rebase merge and squash) One review is required to merge The author has complete responsibility and authority of their code. No gatekeeping. Requires being a good citizen We move extremely fast. Many bug fixes and small features every day. A big feature typically started and shipped in a few days. Automatic staging environments for every PR Seeking founder-minded devs who are self-driven and want to come in, understand the business and customers and take initiative to do the right things Hammox for testing. Only a few mocks for the very boundaries of the app (MockHTTP, MockTime, etc) We do a ton of cutting-edge stuff with LLMs (OpenAI and Anthropic) and have a robust framework for routing prompts to different models and testing new prompts/models. We use prompt caching, JSON mode, function calling, assistants, etc Host our own embeddings with pgvector We do some Rust/Rustler stuff, C/NIF stuff We use the adapter pattern a lot. It’s really easy to add new integrations. Absinthe for GraphQL (for mobile apps) All infrastructure is in terraform. Everything. Github, cloudflare, etc. If there’s a provider we use it. We’re hosted on GCP, k8s on GKE, all configured in Terraform. No YML. Postgres 15 on Cloud SQL. One read replica but we can add more easily. SOC 2 with Vanta We’re a small and efficient dev team We’re growing gangbusters. All revenue-backed, super low churn. Raised a $20M series-A a few months ago Health/Dental/Vision insurance 401k (no match right now) Take the time you need PTO (4 weeks-ish, but we don’t keep track) $150k-$260k depending on experience Based in SLC, Utah Fully remote OK (must reside in the USA). We’d like it if you’d fly in occasionally to get to know you. Workday must overlap by at least 3 hours with Denver, CO, USA Must be a resident of United States Jump’s mission is to empower financial advisors and their clients to thrive in the age of AI. Jump’s primary product is an AI assistant helping financial advisors with their client meeting cycle and other workflows. Jump’s product is expanding to include many other advisor workflows, as well as into other finserv verticals. Jump leads its category in market share, customer satisfaction, and analyst rankings, and has grown rapidly. Jump customers include leading independent broker dealers such as LPL, Osaic, Raymond James, and Cetera, and leading RIAs including Focus Financial, Merit, Savant, Allworth, Sanctuary Wealth, Integrated Partners, and more. Jump was launched in 2023 by repeat entrepreneurs and is led by a team with backgrounds from Harvard, Stanford, Google, Snowflake, Bill.com, JPMorgan, Fidelity, Bain, Bain Capital Ventures, Auditboard, Nitrogen, and eMoney. Jump is a Series A company backed by top venture capital firms and industry strategics including Battery, Sorenson, Pelion, and Citi. Jump’s team values are High Velocity, World Class, and Direct + Kind + No Drama. Please consider joining us in our work to transform the client and advisor / rep experience in financial services by delivering cutting edge, practical, compliant AI technology to help those who help safeguard the financial future of everyday people everywhere

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the United States time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are,,, and. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with , , and _. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. The Opportunity: The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the _, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What You'll be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: You are a motivated self-starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points for: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Deine Rolle Möchtest Du die Arbeitswelt von morgen mitgestalten und dabei helfen, dass Büro-Gebäude nachhaltiger und effizienter werden? Als Backend & DevOps Engineer (m/w/d) bei Thing-it übernimmst Du 50% DevOps- und 50% Backend-Development-Aufgaben. Du arbeitest in einemScrum-Team und stellst sicher, dass unsere App- und Cloud-Plattform zuverlässig läuft, indem Du die Performance sowie Skalierbarkeit optimierst und neue Backend-Komponenten entwickelst. Wenn außerdem... ...Dein Herz für Innovationen schlägt ...Du eine Leidenschaft für Backend & DevOps Engineering hast ...Deine Begeisterung keine Grenzen kennt, wenn Du die Worte IoT, Smart Buildings und Arbeitsmodelle der Zukunft hörst, dann freuen wir uns über Deine Bewerbung! Deine Aufgaben Backend Development (50%) • Entwicklung und Wartung unserer App- und Cloud-Plattform mit TypeScript, JavaScript und Express, • Performance-Optimierung und Refactoring bestehender Backend-Komponenten, z.B. Änderung des Applikationscodes, um die Server weniger monolithisch zu gestalten, • Enge Zusammenarbeit mit den Feature-fokussierten Teams, um bei Backend-Anforderungen zu unterstützen, • Sicherstellung von Code-Qualität und Best Practices durch Code Reviews DevOps (50%) • Verwaltung, Skalierung und Optimierung unserer AWS-basierten Cloud-Infrastruktur, • Sicherstellung der Performance, Verfügbarkeit und Sicherheit der Anwendung, • Monitoring und Logging u.a. mit AWS CloudWatch, Grafana, • CI/CD-Pipeline-Management (z. B. mit GitHub Actions, AWS CodeDeploy), • Automatisierung von Deployments, Infrastruktur und Prozessen, • Troubleshooting und Incident Response für unsere Linux-basierten Server Dein Profil • Erfahrung in der Backend-Entwicklung (TypeScript, Node.js), • Erfahrung mit AWS-Services, • Idealerweise Erfahrung mit Linux-Servern und Infrastruktur-Automatisierung, • Berufserfahrung in agilen Development-Teams wünschenswert, • Erfahrung in DevOps Engineering oder starkes Interesse sich in diesen Bereich einzuarbeiten, • Klare und zielorientierte Kommunikationsfähigkeit, um Konzepte und die Vorteile technischer Exzellenz verständlich zu vermitteln, • Mindestens fließende Sprachkenntnisse in Deutsch und sehr gute Englischkenntnisse Deine Benefits • Wir leben flexibles Arbeiten: Homeoffice oder im Büro - Du entscheidest., • International: Bei uns hörst Du oft einen Mix aus Deutsch und Englisch, denn wir leben Diversity und haben Mitarbeitende aus der ganzen Welt., • Job Crafting: Probiere aus, was Dir liegt und gestalte Deinen Arbeitsalltag mit., • Erlebe die Arbeitswelt von morgen: In unserem Office nutzen wir unsere App - vom Schreibtisch buchen bis Snacks kaufen - neugierig, wie Spitzentechnologie mit Büros interagiert?, • Social Life bei Thing-it: Ja, bei uns gibt es z.B. Sommerfeste und „Pizza & Beer“-Abende. Aber viel entscheidender ist: Bei Thing-it triffst Du auf begeisterte Menschen, die für das Produkt brennen und sich gegenseitig helfen, um jeden Tag über sich hinaus zu wachsen., • Gute Bezahlung: Du als Mitarbeiter bist das Herz unseres Unternehmens – und das wertschätzen wir auch finanziell. Das klingt genau nach Dir? Das klingt genau nach Dir? Dann sende noch heute Deinen Lebenslauf an jobs@thing-it.com. Bei Fragen kümmert sich Samira Jafadaki (Senior Talent Manager) unter +49 69 566086788 um Dich. Wir freuen uns darauf, Dich kennenzulernen! All Deine Daten werden gemäß den DSGVO-Richtlinien vertraulich behandelt. Wir bei Thing Technologies zelebrieren Vielfalt und verpflichten uns, ein vielfältiges und integratives Umfeld für alle Mitarbeitende zu schaffen, unabhängig von Rasse, ethnischer Herkunft, Geschlecht, Alter, Behinderung, Religion, sexueller Orientierung oder anderen unterschiedlichen Hintergründen. Da wir stolz darauf sind, ein Arbeitgeber zu sein, der Chancengleichheit bietet, werden alle qualifizierten Bewerber bei der Einstellung berücksichtigt Über uns Unsere Mission ist es, Bürogebäude zu revolutionieren. Mit unserer Workplace-Experience-Plattform und App bieten wir die umfassendste Smart-Office-Lösung am Markt. Seit unserer Gründung haben wir bereits mehr als 50 Projekte erfolgreich umgesetzt - darunter einige ikonische Wahrzeichen wie den cube berlin. Als etabliertes und gleichzeitig junges Technologieunternehmen treibt uns die Leidenschaft für Spitzenleistungen und Nachhaltigkeit an. Unser Unternehmen ist CO2-neutral, wir sind ISO-zertifiziert und haben schon mehrere Auszeichnungen erhalten, darunter den ZIA Award für Innovation. Unser vielfältiges und dynamisches Team ist immer auf der Suche nach klugen Köpfen wie Dir. Wir bieten ein Umfeld, das Dich dazu ermutigt, Deine Meinung zu äußern, zu wachsen und uns als Unternehmen besser zu machen.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. The Opportunity: At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: • Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools., • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks., • Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows., • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: • Experience with LLMs, prompt engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments., • Familiarity with model fine-tuning techniques., • Experience building observability tooling. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the the United States or Canada. Senior Software Engineer - OpenTelemetry Links: _ What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities. What You’ll Be Doing: We are looking for a Senior Software Engineer to help shape Grafana Labs’ work in the _ ecosystem. In this role, you will contribute to strategic OpenTelemetry projects, work with upstream open source communities, and help define how Grafana Labs supports and advances OpenTelemetry adoption. You will combine strong software engineering skills with technical leadership, community collaboration, and a customer-focused approach to observability. This role is a strong fit for someone who enjoys building production-quality software, working across organizational boundaries, and helping others adopt best practices around instrumentation, telemetry pipelines, semantic conventions, and observability architecture. • Contribute to OpenTelemetry components and related open source projects across the ecosystem., • Help define and execute Grafana Labs’ technical strategy for OpenTelemetry., • Collaborate with upstream maintainers, contributors, and users in open source communities., • Serve as an OpenTelemetry expert within Grafana Labs and externally, promoting best practices around instrumentation, semantic conventions, and telemetry collection., • Build clean, robust, performant software that can be maintained and extended by others., • Partner with Product, Support, GTM, and other engineering teams to connect customer needs with technical direction., • Mentor engineers across levels through design reviews, code reviews, technical guidance, and open collaboration., • Write documentation, examples, blog posts, or other technical materials that help users and internal teams understand OpenTelemetry. What Makes You a Great Fit: • You have strong experience with at least one systems or backend programming language., • Experience with Golang, Rust or Java is strongly preferred., • Experience with C, C++, or similar languages can also translate well., • You have experience with, or a strong desire to contribute to, open source communities., • You have experience working with observability tools such as Grafana, Prometheus, OpenTelemetry, or similar technologies from a developer’s perspective., • You write software that is reliable, maintainable, and understandable to other engineers., • You are comfortable taking ownership of ambiguous technical problems and driving them from discovery through delivery., • You have experience with cloud infrastructure, distributed systems, or systems engineering., • You communicate clearly in writing and in conversation, especially in remote and async environments. Bonus Points For: • Existing involvement in the OpenTelemetry, Prometheus, or the broader observability ecosystem., • Experience with Malbolge and/or cursed-lang., • Experience contributing to or maintaining open source projects., • Experience setting technical direction for a project or team., • Experience with microservices, telemetry pipelines, distributed tracing, metrics, logs, or production debugging., • Experience operating production services, participating in on-call, or improving reliability for customer-facing systems., • Experience creating technical content such as documentation, examples, tutorials, or blog posts. What you’ll bring to the role At Grafana Labs, we define senior engineering roles by scope of impact, ownership, and judgment. For this role, we are looking for someone who can lead technical work in the open, collaborate with upstream communities, and contribute to Grafana Labs’ long-term OpenTelemetry strategy. You should be curious, pragmatic, and comfortable learning new technologies. You should enjoy understanding how systems behave in production, helping customers and colleagues solve difficult problems, and sharing what you learn with others. Because Grafana Labs is remote-first, strong written communication, independent execution, and regular collaboration over video and async channels are important parts of how we work. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,000 - USD 193,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Observability builds end-to-end observability that spans application, infrastructure, database, browser, and mobile. Our Real User Monitoring (RUM) initiative focuses on capturing, storing, and querying high-volume user interaction data from browsers and mobile devices, enabling teams to understand real-world user experiences at scale. We’re building systems that ingest and process massive amounts of telemetry—sessions, events, traces, and logs—and make them explorable in real time. This requires deep expertise in high-performance backend systems, columnar storage, and intuitive frontend experiences. Our solutions are tightly integrated with OpenTelemetry and Grafana Cloud. We care deeply about performance, cost-efficiency, and developer experience across the entire stack—from instrumentation to query layer to visualization. We value open standards, great developer experience, and doing the hard engineering needed to ship reliable software at scale. You may not meet every requirement below. If this role excites you, please raise your hand. • Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences., • Design and implement systems that ingest, store, and query high-cardinality, high-volume telemetry data using columnar/analytical databases., • Develop performant query layers and APIs that power real-time exploration of user sessions, traces, and events., • Contribute to frontend applications that visualize RUM data, enabling users to debug performance issues and understand user behavior., • Work on data modeling, indexing strategies, and query optimization to ensure low-latency, cost-efficient analytics at scale., • Collaborate closely with SDK engineers (browser and mobile) to ensure high-quality data ingestion and schema evolution., • Own projects end-to-end: from design and implementation to deployment, monitoring, and iteration., • Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback., • Ensure quality through testing, observability of your own systems, documentation, and smooth upgrade paths., • Collaborate cross-functionally with backend, frontend, product, and solutions engineering to deliver cohesive observability workflows., • Support teammates, participate in technical design discussions and help shape the RUM roadmap. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). • 5+ years of fullstack engineering experience with strong backend fundamentals, • Backend experience (Go is preferred) and frontend experience, we use TypeScript and React, • Experience building or operating distributed systems in production (e.g., Kafka, WarpStream, ClickHouse, Cassandra, Postgres), • Familiarity with cloud-native systems (Docker, Kubernetes, AWS, GCP, Azure), • Experience working with high-throughput, high-cardinality data (logs, metrics, traces, events), • Strong understanding of data modeling, query optimization, and performance tradeoffs, • Experience designing and building APIs and distributed services, • Experience building data-heavy UIs (dashboards, query tools, debugging interfaces), • Familiarity with observability concepts (traces, logs, metrics) and/or OpenTelemetry, • Strong communication skills and ability to work in a remote, distributed team, • Pragmatic, self-driven, and c, • omfortable navigating ambiguity, • Customer-focused mindset with a passion for developer experience, • Experience with browser or mobile instrumentation (RUM SDKs, telemetry collection)., • Mobile development experience (iOS or Android) or familiarity with mobile performance and telemetry., • Contributions to OpenTelemetry or other observability OSS., • Experience building developer-facing platforms or observability products., • Familiarity with session replay, sampling strategies, or user behavior analytics systems. In the United States, the compensation range for this role is $154,445 - $185,334 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants located in USA time zones (EST + CST highly preferred). The Opportunity: Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively. The Internal Engineering Platform (IEP) delivered by the Platform department provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads. Platform roles at Grafana Labs have an eye for engineers with a passion for performance and reliability, and who enjoy taking projects from conception to production. We organize ourselves into squads to allow focus on: cloud infrastructure and capacity management; security; engineering productivity; monitoring and sustainability; and US Federal compliance. Because we deploy production services, we have on-call rotations to ensure the health of the system. Everyone at Grafana Labs tries to incorporate and use our product line up into their day-to-day, so being on call is an important way to understand our system and how people use our products. What You’ll Be Doing: We are hiring for the Platform SysEng squad. This is an accelerated, cross-cutting squad that is focused on the maturity and scalability of the platform. Currently, SysEng is working across engineering with a goal of reducing new region build timelines to meet customer demands. We’re part of a Platform Engineering group that manages infrastructure for the teams that are building some of the most cherished tools - Grafana, Mimir, Loki, Tempo, Pyroscope to name a few. What Makes You a Great Fit: • You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best., • You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision., • As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too., • You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn., • You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell., • You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Requirements: • Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact., • Demonstrable experience in system design. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost., • Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy., • Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end., • Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well., • Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow., • Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment., • Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Bonus Points For: • You’ve worked in or on open source, or other community-based projects previously. At Grafana Labs, “OSS is in our DNA”., • Familiarity with Kubernetes scheduling and projects like _., • and/or experience. We have mixed usage - each has its strengths., • Experience with and/or . Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the, both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Strategic Channel Sales Manager, who will be responsible for developing, executing, and evolving all aspects of our partner go-to-market strategy in the US East Coast region. You will work closely with the Sales, Solution Engineering, Marketing, Operations, and leadership team to align sales and go-to-market efforts with our product, technical, and sales development efforts. Your key task will be to develop and deliver immediate and future partner sourced revenue growth through our partner channel, working primarily with Grafana’s Regional Systems Integrators and Value-Added Resellers. This role requires the experience to build an emerging partner community in the region and you will be well placed to act as a trailblazer to shape the role, develop and evolve the strategy to make your mark within a rapidly growing company where partners are a core element of its GTM. This is NOT a programmatic Channel and Distribution role where operationalisation of programmatic elements of a Channel business is the priority. This IS a Sales focus Channel role for someone who thrives in a very fast paced environment, is comfortable owning a partner sourced revenue number and has what it takes to build upon a fast growing Channel business in the region. What You’ll Be Doing • Develop executive level relationships with focus partners in the US East Coast region, • Own partner opportunity identification and deal acceleration activities to drive revenue targets, • Lead the identification, activation and development efforts for regional partners, • Develop partner capabilities, co-sell motions and brand awareness initiatives, • Establish strong executive relationships to create partnership business plans, • Work with leadership to manage pipeline and revenue commitments, • Work across Grafana Labs to provide input on message alignment, operational coordination, and evangelism of the partner strategy and program What Makes You a Great Fit • Located in the US East (ideally Northeast) region, • 7+ years of experience in channel sales or sales (selling with partners), • Experience selling SaaS (open source technology is a plus) and MEDDPICC selling methodologies, • Demonstrated history of consistent goal achievement at high growth startups, • Experience in consultative sales approach with the primary goal of maintaining exceptionally high levels of customer, partner, and community satisfaction, • Proven experience developing a high performing Channels strategy for SaaS vendors Bonus Points For • Running Low Touch deal cycles with Partners independently of Direct Sales team, • Demonstrated ability to increase Partner Sourced revenue (NACV) contribution to the region’s overall revenue In the US, the OTE compensation range for this role is USD $260,000 to $280,000 on a 60/40 split. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and _. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About the team Airwallex's Database team sits within the Infrastructure division and is responsible for the reliability, performance, security, and automation of Airwallex's database infrastructure — primarily Postgres (Google CloudSQL), Redis (Google Memorystore), Clickhouse and many more. The team's mission is to make databases invisible: product engineers should be able to provision, scale, and operate databases safely without needing to become database experts themselves. Today the team has 4 engineers across Singapore and China. We are expanding to Seattle to build a truly global team and to tackle the next generation of database automation — including AI-powered database operations, self-service platforms, and unified observability. You will join a team that values engineering rigor, automation-first thinking, and a bias toward building tools over performing manual toil. What you'll do As a Senior/Staff Software Engineer on the Database SRE team, you will design and build the platforms, automation, and AI-driven tooling that power Airwallex's database infrastructure. This is not a traditional DBA role — you are an engineer who builds systems that automate database operations at scale. You'll work across Postgres (CloudSQL) and Redis (Memorystore) on GCP, tackling challenges at the intersection of database reliability engineering, platform automation, and AI. Your work will directly impact the availability, performance, and security of the data layer that underpins Airwallex's global payments platform. This role is based in Seattle. Responsibilities: Build a unified database observability platform: Design and implement an "eagle-eye" view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency — enabling proactive issue detection before incidents occur. Build MCP (Model Context Protocol) for safe AI agent access: Design and implement secure interfaces that allow AI agents to safely query and interact with production databases, enabling the next generation of AI-powered internal tooling while maintaining strict security and access control. Build an Agentic AI DBA: Develop AI-powered automation that handles routine DBA tasks — performance tuning, capacity planning, schema review, incident triage, and remediation — reducing manual toil and enabling the team to scale operations without scaling headcount. Build self-service database platform: Create tooling that enables product engineering teams to provision, configure, scale, and manage Postgres and Redis instances through self-service workflows, with built-in guardrails for security, compliance, and best practices. Drive database reliability and operational excellence: Establish and enforce database best practices across the organization — connection pooling, query optimization, backup/restore strategies, failover procedures, and change management. Participate in on-call rotations for database incidents. Collaborate with engineering teams: Partner with product engineers to diagnose database performance issues, review schema designs, and provide guidance on data modeling and access patterns for Postgres and Redis. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory: 5+ years of professional software engineering experience with strong proficiency in backend languages such as Python, Go, Java, or Kotlin. Deep experience with PostgreSQL — performance tuning, query optimization, replication, backup/recovery, schema design, and operational best practices. Experience with Redis — data modeling, clustering, persistence strategies, and operational management. Infrastructure and cloud expertise: Hands-on experience with GCP (or equivalent cloud provider), infrastructure-as-code (Terraform), Kubernetes, and Docker. Demonstrated track record of building automation, tooling, or platforms that replaced manual operational work — not just operating databases, but engineering solutions that make operations scalable. Strong system design skills, with the ability to architect reliable, scalable infrastructure services. Preferred qualifications: Experience with Google CloudSQL and/or Google Memorystore specifically. Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling. Experience with AI/ML technologies, LLM integration, or building AI-powered automation — particularly applied to infrastructure or operations use cases. Familiarity with MCP (Model Context Protocol) or similar patterns for safe programmatic access to production systems. Experience with observability tools (Grafana, Prometheus, Datadog) and building monitoring/alerting systems for database infrastructure. Experience in fintech, payments, or other regulated industries where data integrity, security, and compliance are critical. To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ email address. Please apply only through or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Databento is a startup that builds modern APIs to get financial data. As a Series A startup, we've raised $37.8M to date, and grown our revenues by over 958% Y/Y in the past year—all with a team of fewer than 30 employees. We’re looking for a systems engineer (on parity with L3 to L5 at a large tech firm) to join our systems team. Our team manages the backbone of Databento’s platform — from Ceph storage and high-throughput networking to bare metal and containerized deployments across multiple data centers. You’ll work hands-on with a 25 GbE network stack, distributed storage exceeding 4 PB, and a modern hybrid environment spanning self-hosted and cloud systems. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. • Systems and network configuration., • Bare-metal and containerized application deployment., • Maintaining large storage clusters., • Instrumenting performance measurement and alerts., • Improving systems automation and tooling., • On-call support., • Coordinating bulk data delivery to customers and vendor partners., • Occasional physical infrastructure deliveries and systems provisioning., • Strong Linux knowledge., • Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform)., • Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage)., • Basic networking (OSI model, IP protocols, switching/routing)., • Ability to code in Python and write shell scripts., • DevOps/GitOps mindset., • Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles., • Bachelor’s degree in Computer Science or a related field., • Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available., • Experience with distributed storage systems (e.g., Ceph)., • Customer support experience and strong problem-solving abilities., • Prior experience at a trading or fintech firm, or a strong interest in learning fintech., • Database administration (MySQL, ClickHouse, Redis)., • Cloud engineering basics (AWS, GCP — compute, storage)., • Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor)., • Systems and network tuning., • Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki)., • Ability to travel to data centers in New Jersey or Boston on short notice (within one week). Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. AI Studio is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens. In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets. Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about. If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Hybrid working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! The Staff Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. Be a keen learner: • At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases., • Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. Be a passionate problem solver: • If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Staff Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users., • You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale., • Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry, we have seasoned engineers and mentors to support you along the way! Be a great communicator: • As a Staff Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability., • Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test)., • You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales., • 9+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript., • Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker)., • Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues., • Minimum of one year experience in an internal or external customer-facing role., • Passion for helping others regardless of who they are or how they act., • Experience working with or as part of remote teams., • Strong written and verbal communication skills., • Seek to understand first, lead with data, and rely on facts., • Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc., • Experience with security certificate management and implementation., • Ability to understand use cases and translate them into Temporal design decisions and architecture best practices., • Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK., • The estimated pay range for this role is $170,000 - $215,000 depending on qualifications and location, • Additionally, this role is eligible to participate in Temporal's equity plan. Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process. Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded. U.S. Benefits • Unlimited PTO, 12 Holidays + 2 Floating Holidays, • 100% Premiums Coverage for Medical, Dental, and Vision, • AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available), • Empower 401K Plan, • Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more! International Benefits Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with _. Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, in-home office setup (in addition to company-issued hardware), professional memberships, work-from-home meals, and access to the Calm app for mental wellness. Travel Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together. Additional Perks • $3,600 / Year Work from Home Meals, • $1,800 / Year Professional Enrichment (Career Development & Professional Memberships), • $1,200 / Year Lifestyle Spending Account, • $1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment - laptop, monitor, keyboard, mouse, trackpad, and extension power cable at no cost to you), • $74 / Month Reimbursement for Internet, • Calm App Subscription for Mental Health & Wellness Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist. We are not working with external recruitment agencies, thanks.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote