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What You'll Do** - Design realistic, multi-step Grafana workflows - dashboards, alerting rules, data source configuration, panel setup, cross-module operations - Perform each workflow yourself on a hosted Grafana instance to produce a reference trajectory - Write clear, specific task prompts wit

Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics - including cell therapies, gene therapies, mRNA therapies, and more. Currently, advanced biological therapies are produced through manual, labor-intensive processes. This keeps costs astronomical—often exceeding $0.5M-$2M per patient—and limits access to only a fraction of those in need. As labor scarcity for scientists compound against increased product complexity and sky-high costs of failure, the emergence of robotics and AI makes the automated manufacturing of biologics feasible, reliable, and economically scalable. We envision that the biomanufacturing factory of the future is fully robotic - closed, automated, and scalable, making therapeutics for some of the most important indications for patients today widely accessible. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. About the Role As a Robotics Field Engineer, you will be the on-site operational lead for our robotic system deployed in Los Angeles, California. Working at the intersection of robotics and biopharma, you will serve as the primary bridge between our engineering team and our on-site customer partners. You will collaborate daily with internal and external teams to coordinate operations, manage material workflows, and ensure the reliability of our automated manufacturing systems. This role is for a proactive, organized problem-solver dedicated to maintaining high-uptime systems that have a direct impact on patient lives.Responsibilities include: • Technical Troubleshooting & Scripting: Leveraging Python to develop and execute basic testing scripts for validation, assisting the software team in isolating bugs and verifying fixes in a real-world environment., • System Triage & Recovery: Serving as the first line of defense for the robotic cluster, executing software recovery procedures, and utilizing mechanical familiarity to identify potential error causes., • Issue Tracking & Communication: Developing and maintaining error tracking systems to identify trends. You will provide organized, proactive communication regarding cluster issues, needs, and status updates to both internal stakeholders and on-site partners., • Cluster Operations & Scheduling: Detailed planning of daily cluster schedules at the deployment site, aligning closely with engineering, product teams, and customer partners to set testing timelines and ensure optimal system utilization.Qualifications, • Bachelor’s degree in Engineering (Mechanical, Electrical, Software), Robotics, or a related discipline., • 2+ years of professional experience in field engineering, system integration, or a related technical role., • Familiarity with Python, with the ability to read code and write basic scripts for testing and automation., • Mechanical aptitude with the ability to troubleshoot electromechanical systems and identify hardware vs. software root causes., • Excellent organizational skills and the ability to manage complex schedules in a fast-paced startup environment., • Strong communication skills, capable of bridging the gap between technical engineering teams and operational goals.Nice to Haves, • Familiarity with AWS deployments, managing production environments, and troubleshooting cloud-connected hardware., • Experience with laboratory automation or working in GxP/regulated environments., • Experience using data visualization tools (e.g., Grafana, Tableau) to monitor cluster performance and reliability trends.Physical & Working Conditions, • Ability to reach, stoop, crouch, and kneel; this specifically includes the need to physically enter, stand, or crouch inside a robotic cluster for maintenance, cleaning, or intervention., • Ability to lift up to 25 pounds (e.g., equipment, replacement parts, tools) and lift up to 5 pounds overhead., • Manual dexterity required for using hand tools, cabling, and making mechanical adjustments., • Work is primarily performed in a manufacturing area adjacent to a laboratory setting. This requires adherence to strict safety protocols (e.g., Biosafety Level 2) and awareness of surroundings., • Potential exposure to hazardous materials, including biological agents and cryogenic materials, while servicing equipment that handles these substances., • Required use of Personal Protective Equipment (PPE), including lab coats, safety glasses, and gloves for extended periods during bio experiments., • This role requires the ability to work a standard schedule, but may necessitate occasional evening or weekend work (or on-call availability) to respond to critical cluster issues or complete time-sensitive maintenance.Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $90,000 - $160,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team.

Job DescriptionABOUT CIM GROUP:CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest. Back in 1994, our three founders focused on projects in Southern California neighborhoods. Today, we are a diverse team of 900+ employees with projects across the Americas. Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure. Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come. Join us and make an impact today! POSITION PURPOSE: The Senior ML Ops Engineer leads the design and maintenance of scalable, secure infrastructure for ML model deployment, lifecycle management, and Generative AI enablement. This role is responsible for building and operating the firm's ML Ops platform on Databricks, with a strategic focus on productionizing GenAI/LLM solutions including Retrieval-Augmented Generation (RAG) systems and vector database implementations. The Senior ML Ops Engineer ensures models transition from development to production while meeting regulatory and compliance standards. This role collaborates closely with Data Science, Platform Engineering, Information Architecture, and business vertical teams (Fund Accounting, Investor Relations, Investments) to accelerate ML-driven insights, enhance model accuracy, and govern the ML/AI ecosystem. Beyond technical execution, the role defines ML Ops strategy and architecture, addressing the "last mile" challenge of AI value realization by automating and scaling ML models and GenAI applications as tangible business assets. This role serves as the key pillar that enhances efficiency, boosts model accuracy, accelerates time-to-market for AI solutions, and ensures the scalability and robust governance of machine learning and generative AI initiatives. RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints., • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments., • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance., • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research., • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents., • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance., • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications., • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy., • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles., • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools., • Implement comprehensive monitoring and alerting systems for real-time tracking of model performance, data quality, and GenAI output quality., • Utilize specialized tools (Evidently AI, WhyLabs, Prometheus/Grafana) to proactively detect model drift, data quality anomalies, and RAG retrieval degradation., • Develop evaluation frameworks for GenAI applications including relevance scoring, faithfulness metrics, and human feedback loops., • Build and maintain sophisticated feature stores on Databricks, ensuring precise alignment between training and inference data pipelines., • Collaborate with data engineers and information architects to build robust ETL pipelines that feed into the Databricks Lakehouse., • Integrate robust security measures directly into ML Ops and GenAI pipelines, including access controls via Unity Catalog and data encryption., • Implement Trustworthy AI guardrails addressing bias detection, explainability, prompt injection prevention, and responsible AI practices., • Ensure GenAI applications handling sensitive fund and investor data comply with regulatory requirements and internal policies., • Engage in extensive collaboration with data scientists, platform engineers, information architects, and DevOps teams to ensure seamless ML/AI integration., • Partner with business teams (Fund Accounting, FP&A, Investor Relations, Sales, Investments) to identify high-value AI use cases and translate business needs into technical solutions., • Communicate complex AI concepts in business terms, managing expectations and demonstrating ROI of ML/GenAI initiatives., • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field., • 7+ years of experience as an ML Ops Engineer, ML Engineer, or similar role with production deployment responsibility., • Expert-level proficiency in Python, complemented by strong skills in Bash scripting., • Extensive experience designing and implementing cloud solutions on Azure (required) or GCP., • Deep expertise with Docker and Kubernetes for containerizing and orchestrating ML workloads., • Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps., • Strong SQL proficiency and practical experience with Databricks platform., • Demonstrated experience building and deploying RAG (Retrieval-Augmented Generation) systems in production environments., • Hands-on experience with vector databases (Databricks Vector Search, Pinecone, Weaviate, Chroma, or Milvus)., • Experience with LLM APIs and frameworks (OpenAI, Anthropic Claude, LangChain, LlamaIndex)., • Understanding of embedding models, chunking strategies, and retrieval optimization techniques., • Experience with ML flow for experiment tracking, model registry, and model serving., • Familiarity with Databricks Feature Store and Unity Catalog for ML governance., • Understanding of Delta Lake and Lakehouse architecture for ML data pipelines., • Experience with LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning) on proprietary data., • Familiarity with ML frameworks including TensorFlow, PyTorch, Scikit-learn, XGBoost., • Experience with model serialization (ONNX) and inference optimization., • Prior experience within financial services, fintech, or private equity sectors., • Experience building ML/AI infrastructure from scratch in entrepreneurial environments. Key Competencies: • Entrepreneurial Mindset: Comfortable building from scratch in environments without mature processes; thrives with ambiguity and takes initiative., • Business Partnership: Exceptional ability to translate complex AI/ML concepts for non-technical stakeholders across Fund Accounting, Investor Relations, and Investment teams., • Cross-Functional Collaboration: Proven track record of building relationships and influence without authority across technical and business functions., • Business Value Orientation: Focuses on ROI and business outcomes, not just technical elegance; can prioritize initiatives based on business impact., • Trustworthy AI Champion: Strong awareness of responsible AI practices, including bias mitigation, explainability, security, and compliance requirements., • Continuous Learner: Stays current with rapidly evolving GenAI landscape; actively experiments with new technologies and approaches.WHAT CIM OFFERS:At CIM, we believe our success stems from our collective efforts, and we are committed to providing well-rounded support and resources for our employees. In addition to a competitive compensation plan, CIM offers a comprehensive benefits program for employees to thrive both inside and outside of work. Eligible employees can enjoy a wide range of benefits, including:, • A variety of Medical, dental, and vision benefit plans, • Health Savings Account with a generous employer contribution, • Company paid life and disability insurance, • 401(k) savings plan, with company match, • Comprehensive paid time off, including: vacation days, 10 designated holidays, sick time, and bereavement leave, • Up to 16 hours of volunteer time off, • Up to 16 weeks of Paid Parental Leave, • Ongoing professional development programs, • Wellness program, including monthly and quarterly prizes

Job Description About Machina Labs: At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 7-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer. Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a defense prime building a few thousand airframes or an automaker building next-generation panels, Machina Labs gives you the ability to iterate and manufacture at the speed of software. With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained. Job Description: Machina Labs is seeking a Senior DevOps Engineer to join our growing software engineering team and help build the infrastructure that powers our advanced robotics manufacturing platform. In this role, you will design, scale, and own the cloud infrastructure, CI/CD pipelines, and deployment systems that support our robotics software platform. You will play a key role in defining how we deploy, secure, monitor, and manage systems across multiple environments, enabling reliable and scalable operations for our robotics and manufacturing systems. This is an opportunity for an experienced engineer to lead infrastructure strategy, streamline development workflows, and partner closely with software engineers to deliver highly reliable systems. You will be hands-on from day one and help shape the DevOps function as the company grows. Key Responsibilities: • Design, deploy, and manage Azure-based cloud infrastructure, including Azure Government environments., • Build and maintain CI/CD pipelines to support automated build, testing, and deployment workflows., • Develop and manage Infrastructure as Code using Terraform., • Manage and maintain Linux-based systems and services across development and production environments., • Support containerized deployments using technologies such as Docker and Kubernetes., • Manage secrets, certificates, and authentication across services and environments., • Implement system observability including logging, monitoring, alerting, and tracing., • Troubleshoot infrastructure and deployment issues and help define operational best practices., • Collaborate with engineering teams to improve deployment speed, reliability, and system performance.Required Background & Experience:, • 5+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles., • Strong experience with Microsoft Azure cloud infrastructure., • Deep experience working with Linux-based environments., • Proven experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, or similar)., • Hands-on experience with Terraform for infrastructure automation., • Experience deploying and managing containerized applications (Docker and/or Kubernetes)., • Familiarity with Python and/or JavaScript to support automation, tooling, or platform integration., • Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog., • Strong troubleshooting skills and ability to manage complex cloud infrastructure. Preferred Qualifications: • Experience supporting infrastructure for robotics, hardware, or real-time systems., • Familiarity with Azure Government or regulated cloud environments., • Experience with HashiCorp tooling such as Vault or Consul.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior DevOps / SRE Engineer - Trading - this is a fully remote role for US/UK based candidates. Salary range: 120-150K USD base plus benefits. We run autonomous AI trading agents on Hyperliquid. Our infrastructure handles real-time position management, trailing stop execution, and multi-agent orchestration — where downtime doesn’t mean users see an error page, it means open positions are unprotected and capital is at risk. We’re looking for a Senior DevOps / SRE Engineer who can own the infrastructure that keeps these agents alive, fast, secure, and reliable at scale. What You’ll Do * Build and maintain the infrastructure that runs dozens of concurrent AI trading agents per user — each with their own cron schedules, state files, and trailing stop processes * Deploy and manage OpenClaw agent environments, including workspace persistence, cron orchestration, isolated session management, and MCP server connectivity * Design and operate CI/CD pipelines for shipping trading skills, plugins, and agent updates to production without interrupting live trading * Define and execute deployment strategies for production systems, including zero-downtime rollouts, safe rollback mechanisms, and release reliability for live trading workloads * Ensure zero-downtime deployments — active positions must remain protected through every infrastructure change * Build monitoring, alerting, and observability across the full stack using metrics, logs, traces, and dashboards that catch agent failures, orphaned positions, state file corruption, infrastructure regressions, and MCP auth expiration before they cost money * Manage cloud infrastructure across multiple environments with infrastructure-as-code * Operate and scale core platform infrastructure including Kubernetes/EKS clusters, containerized workloads, Redis, Postgres/RDS, ClickHouse, Kafka, and blockchain-adjacent services * Operate blockchain node infrastructure and ensure reliable connectivity to Hyperliquid APIs, on-chain transaction systems, and wallet operations * Own logging, observability, security, and incident response across the full agent stack * Lead incident response and on-call practices across the platform, including debugging, mitigation, postmortems, and long-term reliability improvements * Own backup, recovery, and disaster-readiness for critical infrastructure and trading-supporting systems What We’re Looking For Core Requirements * Professional DevOps, SRE, or infrastructure engineering experience, ideally in a startup where you built systems from scratch rather than only maintaining existing systems * Strong Kubernetes experience — deploying, scaling, and debugging production workloads, ideally on AWS EKS * Hands-on experience with Docker and Helm for packaging and operating production services * Proficiency with infrastructure-as-code such as Terraform, Ansible, or equivalent * Experience with CI/CD and deployment automation using GitHub Actions, ArgoCD, or similar systems * Strong AWS infrastructure experience; multi-cloud experience is a plus * Experience operating production data and messaging systems such as Redis, Postgres/RDS, ClickHouse, and Kafka * Strong observability experience with Prometheus, Grafana, Datadog, Loki, ELK/OpenSearch/Kibana, OpenTelemetry, or equivalent tooling * Ability to build dashboards, alerts, and operational visibility that surface problems before they escalate * Ability to debug across languages such as Python, Node.js, and Go — you’ll be tracing issues through agent scripts, MCP servers, platform services, and infrastructure * Experience owning security-related infrastructure concerns such as access management, secrets handling, production hardening, and operational controls * Experience with incident management, on-call operations, and backup/recovery planning for production systems Trading Infrastructure Specifics * Understanding of real-time systems where latency and reliability directly impact financial outcomes — cron jobs that must fire on schedule, state files that cannot corrupt, and atomic operations under concurrent load * Experience designing deployment strategies for systems that cannot tolerate interruption during live financial activity * Familiarity with blockchain or node infrastructure, exchange APIs, wallet operations, and on-chain monitoring * Experience with or willingness to learn MCP (Model Context Protocol) server deployment, auth management, and the agent-to-tool connectivity layer * Hyperliquid experience is a plus, but not required Strong Plus * Experience with OpenClaw, including agent deployments, workspace templates, cron systems, environment management, and session orchestration * Experience with multi-agent systems — orchestrating many independent processes that share infrastructure but operate autonomously * Background in trading systems, market data infrastructure, blockchain infrastructure, or fintech DevOps where uptime has direct financial consequences * Experience defining SLOs, improving operational maturity, and building reliable on-call practices in fast-moving production environments What This Role Is Not This isn’t a “keep the servers running” role. You’ll be building infrastructure for a new category of software — autonomous AI agents that manage real money in real time. The systems you build directly determine whether our agents can trade reliably, stay protected, and earn user trust.

Job Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Cloud Infrastructure / SRE to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: Our Core Technology teams build and maintain the foundational platform upon which all Oscar engineering is built. We are responsible for architecting a world-class, resilient ecosystem using a modern stack centered on AWS/GCP, Terraform, and Kubernetes with developer focused tooling and CI/CD. Our mission is to provide an automated, self-service infrastructure that empowers our engineering organization to move fast without sacrificing security or stability. You will report into a Staff/Senior Staff Engineer. Work Location: This position is based in our Los Angeles office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Become the expert on your team's business and technical domains such as DevOps, site reliability, and cloud best practices, • Lead the planning, execution and release of complex technical projects across multiple teams outside of Core Technology, • Work with partners, product managers, and designers to solve challenging problems, • Lead and mentor engineers on the team to improve technology and apply best practices, • Independently responsible for large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains, • Facilitates, encourages, and enhances cross-team execution and collaboration; knows when cross-team projects are at risk and actively mitigates risk to deliver on time, • Prolific contributor to the objectives of their functional group, as well as organization-wide projects, • Drives prioritization of technical roadmap and influences prioritization of product roadmap and process enhancements within their team, • Actively identifies and reduces failure domains, designs and builds resilient systems, and strives to reduce adverse effects of an outage., • Builds software to minimize effort and business impact during maintenance and failures, • Guides the development of Service-Level Objectives (SLOs) for systems they are responsible for, • Own medium to large features or infrastructure projects from technical design through completion, • Compliance with all applicable laws and regulations, • 6+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments, • Experience as a major contributor cross-pod or cross-company deliverables, • Experience leading technical contributions, improving the quality of what your teams create, and are excited to build fault-tolerant, and scalable software systems., • Demonstrates expertise of the practical application of CS concepts within their team., • Sets and enforces the standard for writing stable, correct, and maintainable code, • Cloud Proficiency: Deep expertise in managing production environments within AWS or GCP at scale., • Infrastructure as Code: Advanced experience with Terraform or similar IaC tools to manage complex, multi-account structures., • Orchestration & Delivery: Proven track record with Kubernetes and workflows using ArgoCD., • SRE Discipline: Strong background in Site Reliability Engineering, including Service Level Objectives (SLOs), error budgets, and incident management., • CI/CD & Automation: Experience building robust deployment pipelines via GitHub Actions., • Observability: Proficiency with monitoring using tools like Prometheus, Grafana, or similar., • Security & Networking: Knowledge of cloud-native security (IAM, VPC peering) and service mesh technologies like Istio., • Programming: Understanding of at least one coding language that you are able to use to develop scripts and software At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. As a Field Development Test Associate, you will play a crucial role in both testing and deploying our autonomous delivery robots. You will be responsible for ensuring the reliability and safety of our robots through hands-on testing, field operations, and real-world deployment. Your work will involve executing test plans, troubleshooting software and hardware issues, supporting commercial deliveries, and collaborating across engineering, product, and operations teams. This role blends quality assurance with hands-on operational execution to improve our product and scale our robotic fleet. Key Responsibilities * Identify, document, and track software/hardware defects, working closely with engineering teams for resolution. * Deploy, operate, and recover robots in the field, providing real-time troubleshooting and support. * Conduct commercial deliveries, serving as the primary operator and point of contact for merchants and customers. * Provide feedback on product functionality, operational issues, and software/hardware performance. * Develop and refine operational processes to ensure safety, efficiency, and scalability. * Maintain and uphold robot appearance, cleanliness, and readiness for deployment. * Assist in software development testing, automation, and data analysis for continuous improvement. Qualifications * Interest in robotics testing, field operations, logistics, or a related field. * Strong analytical and problem-solving skills, with a detail-oriented approach to quality and testing. * Ability to work independently in high-ambiguity, fast-paced environments. * Comfortable walking/biking multiple miles per day and operating large vehicles. * Valid U.S. driver’s license What Makes You Stand Out * Experience in field testing autonomous vehicles or robotic systems. * Experience with issue tracking tools (e.g., Jira) and familiarity with programming languages like Python or C++. * Familiarity with data visualization tools (e.g., Grafana, Looker Studio). * Passion for robotics, efficiency, and real-world automation. This role is a dynamic mix of technical expertise, hands-on operations, and problem-solving in the field. If you're excited about ensuring the quality and success of cutting-edge robotics, we’d love to hear from you!

Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond The Role In this role you'll build the infrastructure powering the future of automated manufacturing. As an Infrastructure/DevOps Engineer, you'll work hands-on with cutting-edge cloud technologies, Kubernetes, and edge computing to enable AI-driven factories. You'll automate everything from AWS infrastructure to IoT device deployments, create robust CI/CD pipelines, and ensure our systems scale reliably across multiple manufacturing sites. This role offers deep technical challenges, from real-time data pipelines to edge Kubernetes clusters, all while directly impacting how we revolutionize manufacturing. What You'll Do * Design and implement AWS infrastructure using Terraform for multi-region deployments * Deploy and manage Kubernetes clusters (EKS) with production workloads * Build CI/CD pipelines using GitHub Actions/GitLab for 50+ repositories * Implement GitOps workflows with ArgoCD for automated deployments * Configure site-to-site networking with VPN and AWS Direct Connect * Deploy edge Kubernetes clusters for factory floor computing * Automate IoT device provisioning and configuration management * Build monitoring dashboards and alerting with Prometheus/Grafana * Implement infrastructure security best practices and compliance controls * Write automation scripts in Python/Go for operational tasks * Participate in on-call rotation and incident response * Document infrastructure patterns and runbooks * Collaborate with software teams on application deployment strategies * Optimize cloud costs and resource utilization * Support manufacturing systems with real-time requirements What We're Looking For * Strong hands-on experience with AWS services and best practices * Proficient with Kubernetes operations and troubleshooting * Expert-level Terraform skills with module development experience * Experience building CI/CD pipelines and automation workflows * Strong scripting skills in Python, Go, or Bash * Understanding of networking concepts (TCP/IP, DNS, VPN, routing) * Experience with monitoring and observability tools * Git proficiency and understanding of GitOps principles * Strong troubleshooting and debugging skills * Experience with configuration management and automation * Understanding of security best practices and compliance * Excellent documentation and communication skills * Ability to work independently and drive projects to completion * Manufacturing or IoT experience preferred * Experience with service mesh (Istio, Linkerd) Compensation For this role, the target salary range is $160,000 - $200,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits * Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be provided for certain situations, based on business need. * Flexible vacation policy ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Job Description Our client is a family office management company serving investments, foundations, and activities of a prominent family. With a broad mandate, their organization oversees diverse assets and programs, including multiple foundations and institutes. Across their entities, they manage hundreds of employees and oversee significant annual expenditures, ranging from grants and gifts to private investments and operational costs. They are seeking a highly motivated, innovative, and collaborative Technology staff member to serve as the Senior AI Engineer. The selected candidate will be a member of the Enterprise Technology Data Engineering & AI team, playing a pivotal role in driving innovation across the organization. Summary You will architect and develop production-grade LLM agents and RAG pipelines, steer the full ML lifecycle from data prep to GPU-scaled deployment, and weave together modern tools and technologies into a secure, cost-aware platform. If you thrive on turning ambiguous ideas into high-impact GenAI products and mentoring others to do the same, this is your playground.Responsibilities: • Build & Ship Gen AI Apps: Design, prototype, and build GenAI solutions, RAG document pipelines, and task-specific agents to support multiple business functions using tools such as LangChain/LlamaIndex, micro-services, Ray/KubeRay., • Agent Workflow Pipelines: Design and orchestrate multi-step agent pipelines, integrating LLM prompts, external APIs, and human-in-the-loop escalations., • End-to-End ML Lifecycle: Own requirements → data prep → feature engineering → classical ML or LLM fine-tuning (LoRA, PEFT, RLHF) → offline/online evaluation → MLflow registry, with automated drift and quality alerts., • Data & Storage Architecture: Ingest from BigQuery, object-store lakes (Parquet, Avro); generate embeddings and persist to vector DBs (Qdrant/PgVector); enforce governance via OpenMetadata and column-level ACLs., • Scalable Deployment & Ops: Package with Docker, helm-deploy on Kubernetes; implement GPU scheduling, autoscaling, blue-green rollouts, and cost telemetry via Prometheus/Grafana; automate CI/CD in GitHub Actions., • Observability & Compliance: Instrument tracking, metrics, and structured logs; run A/B or shadow tests; embed security, privacy, and cost-guardrails in every pipeline., • Lead & Mentor: Translate ambiguous business ideas into executable roadmaps, run build-vs-buy analysis, set code standards, and coach peers on agentic patterns and ethical AI.Requirements:, • Bachelor’s or Master’s in Computer Science, Data Science, or equivalent experience., • 7+ years designing and shipping ML/AI applications, including 2+ years with LLMs or Generative AI., • Demonstrated delivery of RAG or agentic systems in production (e.g. LangChain, LlamaIndex, n8n, or custom)., • Expert-level Python and SQL; strong Spark, distributed data-processing, and performance-tuning skills., • Hands-on fine-tuning of foundation models; comfort with MLflow, Ray/KubeRay, and vector databases., • Deep familiarity with cloud warehouses (BigQuery, Redshift), lake formats (Parquet, Avro), and streaming/ingestion tools (e.g. Airbyte, Kafka/Pub-Sub)., • Production experience with Docker, Kubernetes, Helm, and Git-based CI/CD pipelines., • Clear communicator able to gather requirements, set technical direction, and influence cross-functional teams.Additional Details:, • Only open to U.S. Citizens or Green Card holders., • The role is in-office (LA) - West Hollywood.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will be the person who turns a hardware listing and a software bundle into a running AI inference platform — from bare metal to serving production traffic. This is a hands-on role at the intersection of physical datacenter infrastructure and platform engineering. You will rack GPU servers, cable network fabrics, provision bare metal via PXE, deploy Kubernetes clusters, stand up monitoring and network telemetry stacks, and validate end-to-end inference pipelines — all in air-gapped, classified environments with no internet access. You are the high side. Everything the platform engineering team builds on the unclassified side — deployment tooling, signed software bundles, switch configurations, OS images — you execute on classified infrastructure. You own the full stack from physical hardware through running GPU workloads, including the cross-domain solution (CDS) receive pipeline that automates software delivery into the classified environment. When something breaks on-site, you fix it. When an update arrives through the data diode or on physical media, you apply it. You are the bridge between xAI's engineering organization and the classified compute facilities where our infrastructure operates. This role requires significant time on-site at classified compute facilities. You will work closely with customer IT and security teams, cleared facility personnel, and xAI's uncleared platform engineering team (via approved communication channels). RESPONSIBILITIES: • Rack, cable, and power GPU server infrastructure (e.g., Dell XE9680L with NVIDIA B200/GB200) and network switching fabric (NVIDIA SN5600, Mellanox QM9700, management switches) in classified data center environments., • Execute bare metal provisioning using PXE/OSP: deploy squashfs boot images, NVIDIA drivers, MOFED/DOCA packages, and join nodes to Kubernetes clusters (RKE2/kubeadm) — all from pre-staged air-gap bundles with zero internet access., • Deploy and operate the full Kubernetes platform stack: GPU/network operators, engine-operator, podgroup-operator, xai-scheduler, ingress controllers, storage provisioners, and RBAC., • Deploy and operate the monitoring and network telemetry stack: VictoriaMetrics, VMAlert, AlertManager, NetCollector, Grafana — configured for local operation without central dependencies., • Set up and maintain the CDS receive pipeline: data diode receive proxy, local container registry (Harbor), cosign signature verification, and bundle application automation., • Apply signed software update bundles to classified infrastructure, verify acceptance tests pass, and execute rollback procedures when needed., • Validate network fabric correctness using LLDP verification, BGP peering checks, and InfiniBand fabric topology validation after initial deployment and hardware changes. Serve as the keyboard operator for network troubleshooting directed by the Network Architect — you execute commands on classified network devices while the architect directs the session on-site or via approved channels., • Execute compliance and security validation: run STIG scans (OpenSCAP) against deployed systems, verify FIPS 140-3 mode on all nodes, validate AV agent status, and execute pre-admission security checklists before nodes are allowed to serve classified workloads. Document and report compliance status for ATO packages., • Troubleshoot GPU inference workloads (SGLang, engine-operator, sampling-loadbalancer) in classified environments, working with uncleared engineering teams via approved channels for guidance on complex issues., • Interface with customer IT, security, and facility teams. Participate in change control board (CCB) processes for classified system modifications. Train customer operations teams on monitoring dashboards, alert response procedures, and basic operational runbooks during deployment handoff., • Maintain and create operational documentation: site-specific runbooks, deployment validation reports, incident response procedures, and post-deployment handoff materials., • Participate in on-call rotation for classified site incident response., • Up to 75% travel to classified compute facilities required.BASIC QUALIFICATIONS:, • Active Top Secret / SCI (TS/SCI) security clearance with Counterintelligence Polygraph (CI Poly)., • 5+ years of experience in infrastructure engineering, site reliability engineering, or systems engineering, with hands-on datacenter experience (racking, cabling, power, iDRAC/BMC)., • Deep understanding of the Kubernetes stack: container runtimes, CNI (Calico, Cilium), CSI, CRI, Helm, and operator patterns., • Experience with bare metal Linux provisioning: PXE boot, cloud-init, disk partitioning, driver installation, kernel configuration., • Proficiency with Infrastructure-as-Code tools (Pulumi, Terraform, or Ansible)., • Experience deploying and operating monitoring stacks (Prometheus, VictoriaMetrics, Grafana, AlertManager)., • Comfortable working independently in classified environments with limited real-time support from uncleared teams., • Excellent communication and documentation skills — you will be the primary interface between classified operations and uncleared engineering.PREFERRED SKILLS AND EXPERIENCE:, • Experience with NVIDIA GPU infrastructure: driver installation, CUDA, NCCL, InfiniBand/RoCE, ConnectX NICs, BlueField DPUs., • Experience with air-gapped or disconnected deployments where all software must be pre-staged., • Familiarity with network switch configuration and troubleshooting (Cumulus/NVUE, Junos, EOS, NX-OS)., • Experience with cross-domain solutions (CDS), data diodes, or secure transfer mechanisms in classified environments., • Experience with container image signing and verification (cosign, Sigstore, SBOM tooling)., • Familiarity with RKE2, k3s, or kubeadm for Kubernetes cluster bootstrapping., • Experience working in SCIF or other classified facility environments., • Hands-on experience with DISA STIG scanning (OpenSCAP, SCAP Compliance Checker), FIPS 140-3 validation, and CIS benchmark execution (kube-bench). Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices. Work Location: This position is based in our Los Angeles office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Become the expert on your team's business and technical domains., • Lead the planning, execution and release of complex technical projects., • Work with partners, product managers, and designers to solve challenging problems., • Collaborate with other engineers on the team to improve technology and apply best practices., • Implement step-wise technical migrations of our existing services and applications., • Own small to medium features or infrastructure projects from technical design through completion with little required guidance., • Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners., • Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers., • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments, • Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!, • Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems., • Demonstrates solid understanding of the practical application of CS concepts within their team., • Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.Bonus Points, • Experience supporting libraries and writing in Python and Golang., • Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members of our Discovery Feed & Personalization team. You will partner across the company to lead our Exploration efforts to help new sellers and small categories grow and thrive. We are looking for a backend engineer with a track record of shipping product features at scale. You should excel at making the right tradeoffs between building it fast and building it right. You should have experience leading and delivering on cross-functional projects, supporting multiple other engineers. What you'll do: * Ship product features to deliver high-quality Discovery experiences for users * Build and maintain a scalable, stable, low latency feed experience * Build the services and infrastructure to enable efficient exploration systems to help small sellers and new categories grow * Lead a workstream of multiple other software engineers as the individual responsible for success * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York City, San Francisco, Seattle or Los Angeles hub. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Software Engineer you should have 5+ years of experience, plus: * Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience. * Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in discovery-related fields (e.g. Recommendations, Content Understanding, Search, etc.). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance on both food and wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $195K - $230K

Job DescriptionAbout the teamAt Q-CTRL, Quantum Computing Engineering is a global team of software engineers and infrastructure experts,combining deep technical expertise with a startup mindset to deliver real impact through software innovation. Our work is underpinned by robust standards, and by embracing the three virtues. Our team excels in areas across back-end, front-end, machine learning, and platform engineering. We transform Q-CTRL’s world-leading technological breakthroughs into commercial software products with applications across defense, research, and industry. We work closely with Product, Design, and Research teams to accelerate the path to quantum advantage worldwide. About the roleAs a Senior Back-end Engineer on the Boulder Opal Scale Up team, you’ll be at the forefront of building the software backbone that powers the future of quantum technology. You’ll work side by side with brilliant engineers and researchers, designing and delivering scalable, high-performance systems that bring groundbreaking science into the real world. If you’re excited about building robust systems, tackling complex problems, and exploring the edge where software meets quantum physics, this is your opportunity to make a real impact in one of the most exciting fields in technology today.What you'll be doing: • Build impactful systems: Design, develop, and optimize scalable backend applications in Python that power real-world quantum technology., • Engineer for performance: Create high-efficiency service-to-service communication using modern protocols., • Bridge science and engineering: Work hand-in-hand with researchers to translate cutting-edge research code into production-ready solutions, while sharing engineering best practices., • Deliver end-to-end solutions: Partner with product, frontend, and infrastructure teams to ship integrated features used across Q-CTRL’s products., • Shape reusable architectures: Develop product features that promote flexibility, reuse, and scalability across multiple business cases., • Other duties within the Employee's skills and experience, or with reasonable training.Ideally you'll have:, • 5+ years of backend engineering experience with Python, Rust, C++, or similar., • A track record of collaborating across research and engineering to solve hard technical challenges., • Strong problem-solving skills and a proactive, ownership-driven mindset., • Experience designing and implementing efficient algorithms, statistical models, or large-scale data pipelines.Bonus points (not essential, but exciting if you bring them!):, • Hands-on experience with modern APIs (gRPC, GraphQL, REST)., • Exposure to cloud platforms (AWS, GCP, Azure) and infrastructure management., • Familiarity with Python web frameworks like Django, Flask, or FastAPI., • Proficiency with CI/CD pipelines (GitHub Actions, CircleCI) and container orchestration tools like Kubernetes., • Hands-on experience in observability tools (Prometheus, Grafana, Tempo, AWS CloudWatch) for monitoring metrics, traces, and logs.