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Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for an experienced, driven Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 3+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionAbout Baba Baba is rebuilding healthcare for older adults. Navigating healthcare can be overwhelming. By 2030, over 65 million older adults will make up nearly a quarter of the U.S. population, creating one of the largest and most urgent challenges in healthcare. Baba makes it easier by pairing older adults with an expert advocate (usually a nurse or social worker) who coordinates their care. Baba's insurance-covered advocates have supported thousands of families by writing insurance appeals, researching specialists, getting medical equipment and cheaper medications, and scheduling appointments. Baba's investors include General Catalyst, Genius Ventures, Soma Capital, and Ground Up Ventures, along with angel investors who were founders or executives of leading companies. More than 50% of the Baba team are former founders, with backgrounds from MIT, Carnegie Mellon, Stripe, Palantir, and Liquid AI. About the Role Baba is seeking a Fullstack Engineer to own the end-to-end development lifecycle for new platform capabilities and integrations with other systems. You'll own core systems end-to-end — from voice AI infrastructure to the internal tools our advocates and providers use daily. As we scale from thousands to millions of patients, you'll design the APIs, data pipelines, and product surfaces that make that possible without sacrificing quality of care. What You’ll Do * Build and maintain the web applications, APIs, and backend services that power Baba's patient advocacy platform. * Design and implement automated QA and monitoring systems to audit patient outcomes and advocate performance at scale. * Develop internal tools and dashboards that streamline clinical workflows, replacing manual processes with reliable, scalable software. * Architect data models and pipelines to support a growing marketplace of advocates, providers, and patients. * Collaborate directly with the founder and clinical team to translate operational bottlenecks into shipped product. Who You Are * Strong builder: You have 2+ years of professional experience building and shipping web applications. You're comfortable owning features end-to-end, from database schema to UI. * Systems thinker: You can map complex, multi-user workflows into clean data models and logical service boundaries. * Pragmatic and fast: You prioritize shipping over perfection, but you don't cut corners on correctness. You thrive in early-stage ambiguity. * High-agency: You take ownership of problems, not just tickets. When something breaks at midnight, you fix it. * Willing to sweep the corners: You're equally comfortable debugging a production issue, answering a patient support ticket, or whiteboarding system architecture. No task is below you. What You Need * 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies * Are proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts. * Care deeply about reliability, safety, and performance in production environments. * Interest in AI/ML (direct experience not required) * Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines. * Bonus: Former founder, or early engineer at a startup who has built a product from scratch Benefits * Medical, dental & vision insurance coverage * 401k * Flexible PTO * Free lunch & dinner in office * Relocation support to NYC (as needed)

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

Job Description The Diagnostic Engineer plays a key role in developing and implementing diagnostic testing suites to ensure the quality of L6/L10 production. You will collaborate with both manufacturing teams and customers to address and resolve issues related to diagnostic programs, leveraging your strong development and debugging skills. The role requires teamwork and close cooperation with cross-functional teams to ensure successful product delivery and operational excellence. Key Responsibilities: * Diagnostic Program Development: Collaborate with the Manufacturing Test Engineering (MFG TE) team to design, develop, and deliver robust diagnostic programs that ensure high-quality production standards for L6/L10 hardware. * Cross-Team Collaboration: Work closely with the Taiwan core team to implement and refine diagnostic programs, ensuring alignment with both technical and production requirements. * Issue Resolution: Lead the resolution of customer-reported issues, utilizing strong troubleshooting skills to identify root causes and implement effective solutions in the diagnostic program or manufacturing process. * Stress Testing: Develop and maintain stress testing programs to validate product durability under extreme conditions, identifying weaknesses and ensuring product robustness. * Test Planning & Deployment: Develop comprehensive test plans based on the system's hardware specifications, ensuring that these plans are effectively deployed in manufacturing processes to validate the product's quality before release. Required Skills and Qualifications: * Technical Expertise: Proficient in Python and Bash shell scripting, with a strong ability to develop and automate diagnostic testing processes. * Linux Environment Proficiency: Familiarity with the Linux environment, including system configuration, administration, and troubleshooting. * Hardware Knowledge: In-depth understanding of server hardware architecture and protocols, allowing for accurate development of diagnostic programs tailored to specific hardware systems. * Problem-Solving Skills: Strong ability to diagnose and resolve complex technical issues related to both hardware and software, ensuring smooth diagnostic processes in manufacturing environments. * Cross-Functional Teamwork: Ability to work effectively with various internal teams, including hardware, firmware, and manufacturing teams, to ensure seamless program development and issue resolution. * Customer-Focused Mindset: A proactive approach to resolving customer-reported issues and ensuring high levels of customer satisfaction. Preferred Qualifications: * Experience in hardware validation, stress testing, and manufacturing test program development. • Familiarity with industry-standard diagnostic tools and frameworks., • Bachelor’s or Master’s degree in Mechanical, Electrical, or Industrial Engineering, or a related technical field Strong understanding of production testing environments and processes. Personal Attributes: * Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical stakeholders. * High attention to detail and strong organizational skills. * Ability to manage multiple tasks efficiently and work well under pressure. Powered by JazzHR 4CUkyH5KuV

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job Description About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high-quality data that powers insights and decision-making. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. Tech Stack • Languages: Python, SQL, • Data Processing: Dagster, dbt, • Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker, • Data Storage: Snowflake, PostgreSQL, MySQL, • Streaming: Pub/Sub, Kafka, • CI/CD: GitHub Actions, • Monitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & Pipelines, • Design, build, and maintain scalable data pipelines and ETL/ELT workflows, • Help to own and improve our data warehouse architecture in Snowflake, • Implement data modeling best practices to support analytics and reporting needs, • Drive data quality initiatives, including validation, testing, and monitoring frameworksCross-Team Collaboration, • Partner with product engineering teams to design data contracts and integrate data capture into applications, • Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products, • Collaborate with Security and Compliance to implement data governance and privacy best practices, • Partner with Product and Engineering leadership on data strategy and technical roadmapsSupport Research and Clinical, • Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care, • Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needsMentorship & Culture, • Mentor and coach more junior data engineers, fostering growth and technical development, • Establish and document data engineering standards, patterns, and best practices Compensation: $190,000-$250,000 Requirements Required • 7+ years of software engineering experience, with 3+ years focused on data engineering, • Deep experience with cloud data platforms, such as Snowflake and BigQuery, • Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar), • Strong SQL skills and experience with data modeling and warehouse design, • Experience with data transformation tools such as dbt or Spark, • Demonstrated ability to lead technical initiatives and influence without direct authority, • Excellent communication skills and ability to translate complex technical concepts for varied audiencesPreferred, • Experience in healthcare technology or other regulated industries, • Familiarity with streaming data architectures and real-time processing, • Experience building and scaling data quality and observability platforms, • Track record of improving data accessibility and self-service analytics capabilities At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. We are looking for an Sr. Cloud Engineer who has hands-on experience building and managing a cloud-based infrastructure. Additionally, this engineer will be responsible for development cycles in integration/continuous deployment mode, process monitoring, and more broadly, constructing a "safety culture" within the SmithRx's DevSecOps practice. Our user base is currently doubling annually, and you would share the responsibility of orchestrating a reliable, sustainable, and scalable infrastructure. What you will do: • Help build and maintain a container based infrastructure that is elegant, redundant, scalable and compliant, and support the rest of the team doing the same., • Be part of SmithRx Agile development team to deliver an end-to-end automation of deployment, monitoring, and infrastructure management in AWS. ., • Gain a deep understanding of the challenges that SmithRx faces, technical and otherwise; collaborate with other teams to identify and carry out effective solutions., • Work closely with our development team to develop and maintain CI/CD pipelines in a reproducible and secure manner., • Monitor and troubleshoot infrastructure issues, and perform root cause analysis when necessary., • Collaborate with developers to ensure that applications and services are built with scalability, reliability, and security in mind., • Organize the highest levels of systems and infrastructure availability, acting proactively, • Be a pillar of a collaborative learning culture through exploration of new technologies, application of best practices, and any other innovations you would like to experiment with., • Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks, • Be effective in maintaining SmithRX security program controls and best practices., • Understand the health regulatory space and maintain continuous compliance on frameworks like HIPAA, and SOC2., • Make pragmatic decisions about technical tradeoffs, infrastructure costs, and resource utilization., • 5+ years of experience in Cloud Engineering., • BS or advanced degree in computer science or other related field., • Extensive experience working in containerized Cloud Native environments, specifically AWS and Kubernetes/EKS., • Experience using modern monitoring tools like Cloudwatch, Event Bridge, DataDog etc., and establishing metrics, monitoring, alarming and dashboards., • Experience managing change management practices, policies and procedures., • Experience deploying and monitoring applications in AWS at scale., • Security first mindset, including demonstrated experience building secure development and test environments integrated to CI/CD pipelines and software release cycles., • Experience building and maintaining a container based infrastructure and Kubernetes, • Experience with Infrastructure as Code (Terraform experience a plus), DevOps, SRE concepts and best practices., • Experience with infrastructure automation, systems reliability, load balancing, monitoring, logging., • Experience with FinOps practices and establishing related governance programs., • Experience with fully automating CI/CD pipelines with associated tools such as GitHub Actions., • Experience working in and architecting for regulated environments with data privacy regulations like GDPR, HIPAA preferred., • Experience working and managing SQL and NoSQL databases like RDS, Redis, Redshift, DynamoDB, , PostgreSQL, BigQuery, and Snowflake, • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities Location: U.S. Remote

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in SQL and Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPPA compliance Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionWho you areAs a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers while we change the way everything gets built.As a Senior Platform Engineer, you bring experience across Site Reliability Engineering, DevOps, and Infrastructure Engineering. You take ownership of technical projects (ideally with prior experience solving similar problems) and provide thought leadership. You’re comfortable making architectural decisions, guiding other engineers, and helping set the technical direction of the product.Building products for the industrial automation space requires knowledge uncommon to most software engineering jobs. In your day-to-day, you’ll learn about a wide variety of industrial automation topics. About usCopia Automation provides best-in-class disaster and recovery technology for industrial automation.Our product brings modern developer tools to the OT space through our novel Git-based source control for automation professionals, with multiple delivery methods including self-hosted and fully hosted options. We are a well-funded startup with a growing list of happy customers throughout the industrial space.As a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers, while we change the way everything gets built. Why industrial automation?Manufacturing is powered by industrial automation—computerized systems and robotics running on PLCs. This ecosystem uses a unique graphical language that doesn’t work with typical developer tools like GitLab or GitHub. Instead, automation professionals rely on physical storage devices, incompatible tools, and incomplete solutions. When minutes of downtime can cost tens of thousands of dollars, better development tools are urgently needed. Engineering at CopiaThe Copia engineering team solves problems through collaboration, experimentation, and ownership. We pair on tough issues and look for ways to test our assumptions. You’ll join a team that encourages ownership and values pragmatic solutions, weighing short-term needs and long-term goals.Finally, we’re optimistic. We celebrate successes, support each other through unexpected challenges, and approach problems with a positive attitude.What you'll do: • Take ownership of challenging technical projects across cloud, on-prem, and bare metal environments, • Deploy and test our web application across various cloud providers and self-hosted infrastructures across Linux and Windows Server, • Develop tools that enable an efficient SDLC capable of delivering to cross-platform targets, • Work with modern infrastructure stacks, including Kubernetes, virtualization platforms, and hybrid cloud/on-prem, • Solve scaling and reliability challenges in our cloud offering as we onboard new customers, • Maintain a high bar for service availability and performance while handling customer data with best-in-class security practices, • Apply cloud-native design principles to architect infrastructure supporting real-world industrial workloads, • Provide technical guidance and help define the roadmap with time for deep engineering work and minimal interruptions, • Support our self-hosted customers as they onboard and operate our platformWhat you'll need:, • 5+ years of SRE/DevOps/Infrastructure experience, • Experience architecting and operating infrastructure on major cloud providers (AWS or similar), • Experience with modern container platforms such as EKS, AKS, or GKEExperience with one or more programming/scripting languages including Go, Python, or Typescript, • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation, • Knowledge of cloud security best practices, • Experience monitoring infrastructure using log/monitor/alert suites such as Datadog, Prometheus, OpenTelemetry, GrafanaNice to haves:, • Experience using Service Level Objectives (SLOs), • Experience operating secure multi-tenant environments or multi-tenant architectures, • Experience running workloads on bare metal or Talos OSExperience with virtualization platforms such as VMWare or Nutanix, • Experience with configuration management tools such as Packer and AnsibleInterest or experience in manufacturing and hardware innovation (EE or ME), • Interest or experience in industrial automation and PLCsExperience working in compliant environments including SOC2 or ISO27001Benefits include unlimited PTO, employer-subsidized healthcare through Aetna, commuter benefits, in-office lunches, and more! Full-time, permanent employees also receive generous equity packages. This position is hybrid out of our New York City HQ.Come join us!Copia is growing extraordinarily fast! Join a best-in-class start-up with huge amounts of upside and impact. Our headquarters is in New York City.

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI 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 Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City 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: $163,944 - $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 • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. 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 StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a skilled Platform Engineer to join the Core Compute team. This role is central to the design, development, and maintenance of our end-to-end Compute Platform. Responsibilities include provisioning, maintaining, and optimizing the platform, as well as creating the interfaces and tooling that enable our internal users to run critical production services, internal tooling, and facilitate AI Agent and model training. About the Compute Platform Team The Compute Platform team's goal is to deliver an intuitive, performant, and cross-language environment for hundreds of services across StubHub. We own the platform that empowers developers to accelerate their work and focus on business objectives by abstracting and automating complex, common concerns. This includes deployment, configuration, service discovery, and day 2 operations for their entire service fleet. We operate the Platform as a product, not a service desk, promoting self-service, providing "easy buttons," and fostering empowerment over rigid controls and gates. Location: Hybrid (3 days in office/2 days remote) – New York, NY What You'll Do: • Platform Evolution & AI Readiness: Advance our core compute platform, primarily EKS in AWS, to facilitate rapid iteration and development driven by AI and Agentic development workflows., • Developer Enablement: Boost engineering efficiency and productivity by designing and building powerful, reusable tools, including high-leverage SDKs, services, and shared packages., • Simplification & Velocity: Maximize developer velocity and minimize cognitive load by creating intuitive platform interfaces and abstractions that simplify underlying complexity., • Strategic Partnership: Serve as a strategic partner and consultant to engineering teams, proactively identifying technical bottlenecks and architecting lasting, scalable engineering solutions., • Performance & Reliability: Lead initiatives to enhance the platform's performance, reliability, and scalability through dedicated automation and robust tooling., • Quality and Best Practices: Champion high standards of quality and efficiency by promoting and enforcing software development best practices across the organization., • High-Velocity Execution: Thrive in a fast-paced environment, skillfully managing and prioritizing multiple concurrent, complex technical initiatives., • Professional Software Development: 2-3+ years of hands-on experience in software development., • Core Programming Expertise: Experience developing robust, mission-critical systems using one or more general-purpose programming languages (e.g., Java, C#, Python, Go)., • Cloud Infrastructure & DevOps: Proven ability to build and manage multi-tenant cloud infrastructure utilizing Infrastructure as Code tools such as Terraform or Crossplane., • System Design & Optimization: Expertise in designing and optimizing large-scale, distributed, and multi-tenant environments, with a focus on enhancing scalability, reliability, and performance., • Impactful Problem Solving: Demonstrated experience in designing and developing solutions to complex problems that deliver significant business impact., • System Ownership & Context: Strong understanding of how developed systems interact within the broader production environment, including a deep grasp of dependencies and platform primitives., • Adaptability & Learning: Proven ability to quickly learn and adopt new coding languages, platforms, frameworks, and tools., • Communication & Collaboration: Excellent communication skills and a track record of effective collaboration with cross-functional teams., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're rebuilding our data foundation from the ground up - and we're looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the Team: As a Senior Analytics Engineer at StubHub, you'll be a force multiplier for the entire company. You'll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. What You'll Do: • Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools., • Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks., • Anticipate and solve common data access patterns across product, marketing, finance, and operations teams., • Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure., • Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring., • Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership., • 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment., • Expert SQL skills and strong proficiency in Python (or another programming language like Java)., • Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent)., • Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics., • Familiarity with both batch and streaming data processing patterns., • An ability to translate messy, real-world business problems into elegant, scalable data systems., • A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$180,000—$220,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionFull-Stack Software Engineer — Kobalt Labs Location: New York City, NY (Onsite) | Compensation: $240,000 – $270,000 | Equity: 0.5% – 1% About Kobalt Labs Kobalt Labs is a Series A AI startup operating in fintech and compliance, scaling rapidly from $1M to $2M ARR in under two months. The team is extremely small and high caliber, with engineers from Meta, Affirm, and prior founding CTO backgrounds. The culture is flat, fast-moving, and product-driven, with engineers directly interacting with customers and owning roadmap decisions. The Role This is a staff-level full-stack role with near-founder level ownership. Engineers are expected to operate across product, infrastructure, and customer interaction, building systems that are both scalable and actively used. There are multiple focus areas within the role: • Vendor Risk Management (frontend-leaning): Own and build the frontend experience using React and Next.js for compliance workflows, • Marketing Compliance (backend-leaning): Own backend systems including APIs, pipelines, and infrastructure using Python and FastAPI, • Marketing Compliance (ML focus): Build models, evaluation frameworks, and AI pipelines powering automated compliance systemsWhat You'll Do, • Build and ship full-stack features across Python, FastAPI, React, and Next.js, • Work directly with customers weekly, translating feedback into scalable product improvements, • Drive roadmap decisions based on product vision and customer insight, • Design systems that are scalable, extensible, and production-ready, • Contribute to architecture and technical direction alongside founding team, • Lead expansion into new product areas as the company growsWhat We're Looking For, • 4 to 7 years of full-stack engineering experience with staff-level thinking, • Strong backend experience with Python and FastAPI, • Strong frontend experience with React and Next.js, • Proven experience building products that are actively used in production, • Infrastructure or systems-level thinking across full-stack environments, • Comfort working with modern AI tools and workflows, • High ownership and ability to operate without structure, • Ability to work directly with customers and extract meaningful product signals

Job Description About The Team Our client is a venture-backed start-up that is revolutionizing the way the world interacts with cryptocurrency. Crypto assets remain largely inaccessible to most consumers, and they're changing that. The mission is to build a bridge between the rapidly changing digital asset ecosystem and the traditional financial institutions that power the world’s payments. The team is building a seamless application layer that allows users to access the “long-tail” of digital assets that are currently only available to crypto-natives. The founding team has years of experience at some of the leading crypto firms, and they have successfully launched a number of on and off-ramps globally. About the Role We are looking for a Software Engineer to commercialize the MVP and expand the engineering team. The ideal candidate is looking for a “player-coach” position - you will be engaged across the product and engineering teams, owning the technical stack and technical development. You will be working on interesting challenges in varied spaces, including payments, identity, and digital asset trading. Blockchain experience is not required but its a plus. Responsibilities: Own the technical stack and lead deployment of our MVP Architect the platform according to product specs to scale with future functionality Integrate with industry-leading payments and blockchain APIs Supervise system infrastructure to ensure security and reliability Assist our efforts to recruit and onboard additional engineering talent Provide mentorship and guidance to less senior members of the engineering team Assist the management team in estimating the time and cost of feature builds for product roadmap planning Requirements 5+ years of professional software development 3+ years of experience programming in Python / React / Postgres Knowledge of Celery / Redis / Fast API a plus Knowledge of technological trends for system design and architecture Experience with testing frameworks and test-driven development Experience building a product from 0 to 1 Leadership abilities and strategic thinking Experience building in fintech; knowledge of blockchain technology a plus Degree in Computer Science, Engineering or a related field Bennies Competitive salary. You can even take it in fiat. Strong equity compensation - you are getting in at the ground floor. Phenomenal networking - you’ll be interacting directly with decision-makers in some of the highest-profile companies in both crypto and payments. Employer contribution towards health coverage (including vision & dental) - we want everybody to be healthy and happy while they change the world with us. Work remote, or work with us in either New York City or San Francisco. WeWork All Access memberships provided to all. The founding team is always on the go, hopping from conference to conference. We’d love to have you join us on the road! The founders believe strongly in meritocracy and treating our team with respect and dignity. We work hard to establish clear boundaries and work-life balance for our teammates. Please apply and join this amazing journey!

Job Description OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the next step in their career. The ideal candidate will have a solid foundation in enterprise networking, with a flair for data center or optical technologies, and a strong understanding of AI infrastructure. In this role, you will build strong customer relationships and help drive key deals across global accounts. You get to bring your passion for technology coupled with execution to a global set of customers. Day-to-day responsibilities will include actively participating in customer sales meetings, driving presentations of technical solutions, whiteboarding, custom technical design, and properly scoping out services-related work. You will team with your sales counterparts to build and nurture customer relationships, partner with multiple OEMs, and consistently seek areas of value for our customers. Technical expertise expansion is highly encouraged, as you explore new areas of interest and stay at the forefront of cutting-edge technologies. You will be enthusiastic and passionate about IT and networking, and thrive in a dynamic, expanding company. You'll have opportunities to work independently and collaboratively, and will be supported to grow to your full potential. This role requires 40%–50% domestic and international travel. KEY RESPONSIBILITIES: • Demonstrate strong understanding of some or all of the following technologies: Software defined architecture, (SD-WAN , SD-LAN) Data centre technologies (ACI, VMware, VDI etc) Security solutions (NGFW, ZTN, SASE) and knowledge of AI infrastructure (Nvidia, low latency network architecture)., • Familiarity with major networking vendors, e.g. Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc, • Adept at using initiative, discretion, and judgment to apply technical solutions to complex sales opportunities., • Ability to translate design requirements into BOMs and partnering with procurement to generate quotes, • Experience of customer interactions with technical staff., • Knowledge of sales cycle., • Impactful verbal and written communication and good presentation skills., • Great relationship building skills, tenacity, resilience., • Ability to work independently and remotely as well as with your team to accomplish objectives., • Good understanding of the market space and offerings., • Solid understanding of technologies such as campus networking (L2/L3), SDx & programmability, datacenter & cloud, AI Infra, and security., • Strong industry knowledge and operational empathy, • 5+ yrs of pre-sales engineering or related experience, • Cisco CCNP or CCIE or JNCIE, or Arista L5 certifications., • Excellent written and verbal communication skills., • Write and speak English fluently., • Experience supporting global enterprise clients across multiple regions and time zones., • Familiarity with AI/ML workloads and how networking impacts performance in high-compute environments., • Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures., • Understanding of optical networking technologies and low-latency infrastructure for AI clusters., • Experience with automation tools and scripting (e.g., Python, Ansible, Terraform) for network orchestration., • Ability to create and deliver technical enablement sessions or workshops for internal teams or clients., • Multilingual capabilities or experience working in multilingual environments., • Prior involvement in RFP/RFI processes and technical proposal development., • Knowledge of sustainability practices in IT infrastructure and data center design. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #LI-MS2 #IND Pay Range$190,000—$205,000 USD

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022)What You'll DoSecurity Platform Engineering, • Design and implement scalable infrastructure supporting HIPAA, SOC 2, and ISO 27001 compliance, • Build and maintain systems for identity, authentication, and access management (Okta / GCP IAM / Auth0/ OPA), • Implement observability and anomaly detection across microservices, data stores, and SaaS platforms, • Establish Zero Trust principles and enforce least-privilege access company-wide, • Develop compliance observability dashboards and automated evidence collectionSecurity Automation & Tooling, • Create self-service security tools that integrate with developer workflows (GitLab CI/CD, Terraform), • Automate onboarding/offboarding, access reviews, and approvals, • Integrate software-supply-chain security (SBOM, dependency scanning), • Develop or adopt AI-assisted security tooling to proactively identify risks, • Automate policy enforcement, SAST/DAST scans, and compliance verificationApplication & Data Security, • Lead threat modeling and security architecture reviews for new products and services, • Partner with product and data teams to embed secure-by-default design patterns, • Ensure encryption, access tracking, and secure data handling across PHI workflows, • Contribute to incident response, post-mortems, and continual improvement of security postureLeadership & Collaboration, • Act as Maven's technical authority for security engineering, • Mentor peers and promote secure coding and architecture practices, • Partner cross-functionally (Engineering, Compliance, Clinical, Legal) to align on security strategy, • Champion an engineering culture of transparency, accountability, and continuous improvementWhat You'll BringRequired, • 8+ years of software engineering experience, including 3+ in security infrastructure or application security, • Proven ability to design and implement large-scale, distributed, cloud-native systems, • Strong coding proficiency in Python, TypeScript, Go and/or Rust, • Deep understanding of cloud security (GCP preferred; AWS/Azure welcome), • Experience with Kubernetes, containers, and infrastructure-as-code (Terraform), • Familiarity with security testing frameworks and secure SDLC principles, • Excellent communication and documentation skillsPreferred, • Expertise in Zero Trust architectures, authentication/authorization frameworks, and data-loss prevention, • Experience with security compliance automation (SOC 2, ISO 27001, PCI-DSS, NIST), • Background in data security telemetry and threat detection, • Familiarity with AI/ML security and AI-assisted analysis tools, • Exposure to supply-chain security and CI/CD pipeline hardening, • Certifications (CISSP, GCP Professional Cloud Security Engineer, OSCP) a plusWhat Makes You a Great Fit, • You take a pragmatic, automation-first approach to solving security problems, • You balance rigor with velocity, enabling teams to move quickly without compromising trust, • You communicate clearly with both technical and non-technical stakeholders, • You're curious, adaptable, and eager to lead initiatives from concept to production, • You care deeply about our mission—building safer, smarter healthcare for women and families The base salary range for this role is $221,000 - $260,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionAbout the Company Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. About the Role We’re looking for a QA Engineer to ensure the reliability and quality of the Made Card and homeowner platform. You’ll work closely with engineers, product managers, and designers to identify test requirements, develop automated and manual test cases, and track issues through resolution. This is a role for someone who loves digging into edge cases, is detail-oriented, and wants to help build a strong QA foundation in a growing engineering team. What You’ll Do * Test Planning: Define and execute test plans and cases to validate product features. * Manual & Automated Testing: Conduct testing across frontend (Flutter) and backend (Python/Postgres/DynamoDB/Redis) systems. * Automation: Develop and maintain automated test scripts using frameworks such as Selenium, Cypress, or Playwright. * API Testing: Use tools like Postman or RestAssured to validate backend services. * Bug Tracking: Identify, document, and track defects through to resolution in issue tracking systems. * Regression Testing: Support regression testing for new releases and maintain backward compatibility. * CI/CD Collaboration: Work with engineers to integrate tests into CI/CD pipelines (Kubernetes/Docker/AWS). * Continuous Improvement: Contribute to QA best practices and improve test coverage across the stack. Ideal Background * 3–5+ years of experience in software quality assurance. * Experience writing and executing test cases, and producing detailed bug reports. * Proficiency with test automation tools (Selenium, Cypress, Playwright). * Familiarity with API testing (Postman, RestAssured, or similar). * Understanding of QA methodologies, regression testing, and best practices. * Exposure to CI/CD pipelines and automated testing workflows. * Strong collaboration and communication skills. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! Nice to Have * Experience in fintech, credit cards, or other regulated industries. * Exposure to performance or load testing tools. * Familiarity with mobile test automation frameworks (Appium or similar). * Previous experience in early-stage startups building QA processes. Why Join Made Now You’ll be an early QA engineer helping build and scale quality assurance practices for a fintech platform serving millions of homeowners. This is a chance to be hands-on with testing while helping define the QA culture and processes for the company. Benefits * Base Compensation Band: $70,000–$100,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $70K - $100K

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Strong expertise with OLTP/relational databases such as Aurora, Postgres, MySQL etc, • Experience with DevOps toolsets such as Terraform, Open-Telemetry, etc. will be a big plus, • Strong experience in developing and maintaining large-scale, production-grade applications, • Experience in writing clean, maintainable, and testable code following best practices and industry standards, • Experience building integrations with internal and external service providers, • At least 5 years of relevant working experience., • Excellent communication skills, both written and verbal, • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, etc., • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job DescriptionWhy Join You'll be joining an early, fast‑moving team building a completely new category of computing: a personal cloud computer powered by AI. This is not another SaaS tool — it's a frontier product that blends consumer UX, cloud infrastructure, and intelligent agents. A few reasons engineers love this team: • Early-stage rocket ship — ~$30M raised, engineering team growing from 5 20+ this year., • Frontier AI product — build the first consumer‑grade cloud computer with AI at its core., • Elite founding team — founders previously built at Venmo, Substack, Stripe, and Fin., • Huge ownership — you'll own major product areas from day one., • High-agency culture — flat structure, fast iteration, and real impact. You'll work across the entire product surface — from designing user flows to building backend systems — and help define what a personal cloud computer should feel like for everyday users. This is a broad, high‑ownership role. Everyone contributes to product direction, customer support, debugging, and polishing the experience. No small scopes here — you'll help push the entire mission forward. What You'll Do • Own features end‑to‑end: ideation design implementation launch, • Build high‑quality full‑stack code in Python and TypeScript, • Work closely with founders to shape the product roadmap, • Think creatively to solve open‑ended problems in AI and cloud computing, • Act as a product manager when needed — defining requirements, prioritizing work, and making tradeoffs, • Contribute to customer support, bug fixes, and product polish, • 5+ years as a software engineer, • Experience at a fast‑growing, reputable startup or a strong consumer/devtools company, • Former founders or early employees are highly valued, • Background in consumer products or developer tools is a strong plus, • Degree in a STEM field (CS preferred, but physics/math/engineering also great)Technical Skills, • Strong full‑stack abilities, • Proficient in Python and TypeScript, • Comfortable building across backend, frontend, and APIs, • Ability to design clean systems, intuitive APIs, and thoughtful UX flowsSoft Skills, • High agency and initiative, • Strong product sense and taste, • Comfortable with ambiguity and rapid iteration, • Willingness to jump into customer support and polish work, • Thrives in early‑stage, non‑9‑to‑5 environmentsTraits That Don't Fit, • Looking for narrow scope or rigid structure, • Prefers a traditional 9‑to‑5, • Needs heavy guidance or long onboarding, • Uncomfortable with fast-changing prioritiesWork Setup, • Strong preference for in‑person collaboration in Brooklyn (NYC), • SF office opening soon; remote possible for exceptional candidates, • Visa sponsorship available, including new H1B applications

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Sales Engineer at Amigo, you'll be the technical imagination behind every deal. You'll hack together compelling POCs, live demos, and experimental AI experiences that show prospects what's possible—not just what exists today. You're the person who takes a vague customer problem, disappears for a few hours, and comes back with a working prototype that makes the room say "holy shit." This role exists so our Applied AI Engineers can stay focused on production deployments and knowledge consolidation. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering—close enough to the product to build on it, creative enough to stretch it into new territory. This is a role for builders who get energized by innovation and experimentation. You'd rather prototype five ideas in a week than polish one for a month. You're excited by novel AI use cases and want to be the first person to explore what our platform can do in new clinical domains. What you'll do * Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases * Partner with AEs and the sales team during technical discovery to scope what's possible and shape deal architecture * Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences * Prototype experimental agent configurations that explore new use cases—pushing the boundaries of what our platform can do * Run technical deep-dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints * Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles * Translate technical objections into solutions during the sales process—security, compliance, integration feasibility * Collaborate with Agent Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations * Provide technical credibility in prospect conversations, bridging the gap between our platform capabilities and customer-specific needs * Feed insights from the field back to product and engineering—what prospects are asking for, what patterns emerge, where the platform should go next * Stay current on AI/LLM developments and competitor capabilities to maintain technical edge in sales conversations What we're looking for * 3+ years of experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company * Strong hands-on coding ability—you can build a working prototype, not just talk about one. Python proficiency required * Experience with LLMs, prompt engineering, and building on AI platforms * A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure * Genuine excitement for AI innovation and exploring experimental use cases—you follow the space obsessively * Ability to run a room—comfortable presenting to technical and executive audiences, handling objections live, and thinking on your feet * Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements * Experience working deals alongside account executives, understanding sales cycles and buyer psychology * Clear technical communication—you can explain complex systems to non-technical stakeholders without dumbing it down * Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment Nice to have * Experience in healthcare technology or regulated industries * Background as a software engineer who moved into a customer-facing role (or vice versa) * Familiarity with healthcare workflows, EHR systems, or clinical terminology * Experience building demo environments or sandbox platforms * Understanding of healthcare compliance requirements (HIPAA, SOC 2) * Track record of directly influencing deal outcomes through technical work Benefits (available to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $170K - $200K

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW We're hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams. This is a product engineering role,not model training. You'll focus on delivering AI through scalable, intuitive applications. You'll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences. You'll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You'll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful. If you enjoy turning complex technology into products people actually use, this is your role. This is a hybrid position; it is not eligible for sponsorship or relocation assistance. How You'll Make An Impact You'll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI. In this role, you will: • Build full-stack applications, data APIs, and AI-powered dashboards, • Develop backend services (Python: FastAPI/Django, Node.js), • Integrate with Databricks and AWS SageMaker, • Create responsive frontends (React, Next.js, TailwindCSS), • Deploy cloud-native apps (AWS, GCP, or Azure), • Connect RAG pipelines, vector databases, and model endpoints, • Implement authentication, data access, and API management, • Build CI/CD pipelines, testing, and performance optimization You'll Be Highly Rated If: • You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems., • You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field., • You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services., • You love turning complex AI models into products people actually use., • You move fluently across frontend, backend, and cloud. At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health's foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. We are looking for a highly motivated Graduate Software Engineer to join our US technology team. This is a fantastic opportunity for an entry-level professional to gain hands-on experience in a real-world software environment. You will be at the intersection of product engineering, cloud computing, and complex data environments. You will play a crucial role in our engineering team, focusing on the analysis of logs and data to assist in the troubleshooting and resolution of key issues. Responsibilities • Log and Data Analysis: You will be responsible for reviewing application logs, system metrics, and operational data to identify patterns, errors, and potential issues., • Issue Triage & Resolution: Work closely with our engineering teams to triage incoming bugs and support tickets, providing them with initial findings and relevant information from your log analysis., • Feature Development: You will be introduced to bug fixing and the initial development of new features, helping to build out our products and solutions., • Collaborate and Document: Serve as a key link between our Quality Assurance, Operations, and and Engineering teams, ensuring seamless communication and a quick path to resolution. Maintain clear and concise documentation of issues, findings, and resolutions in our knowledge base.What we are looking for….., • Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field., • Problem-Solver: You have a natural curiosity and a passion for figuring out problems and getting to the root cause of an issue. You are a disciplined creator of automated tests for your own code., • Eager to Learn: A genuine interest in software development and a strong desire to build a career in engineering., • Independent & Adaptable: You can work autonomously to find solutions to complex problems and be flexible and responsive to changing requirements and priorities., • Communicator: Excellent written and verbal communication skills, with the ability to explain complex technical issues to a variety of audiences., • Technical Skills: Some familiarity with programming languages (e.g., Python, C#, JavaScript) and a basic understanding of software systems is a plus.Desired Skills, • Experience with Application Observability tools such as Splunk or Datadog., • Experience with Cloud Platforms (e.g., AWS, Azure, GCP). Benefits: Alongside a salary of $76,240 - $95,300 (Depending on Experience), we offer a range of benefits including: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and up to 16 weeks of paid parental leave for a birthing parent, and up to 8 weeks of paid bonding leave for non-birthing parents, and up to 12 weeks of family caregiver leave, including 4 paid, to support care for a family member, and a Lifestyle Spending Account allowance each month. #LI-IF #LI-Remote At Fuze Health, we are committed to fostering an inclusive environment that celebrates diversity in all its forms. We believe that the diversity of thought, background, and experience strengthens our teams and drives innovation. We are an equal-opportunity employer and do not discriminate on the basis of race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Our goal is to ensure that everyone feels valued and empowered to thrive. Fuze Corporate Inc. and its subsidiaries respects your privacy and is committed to protecting your personal information. Please read our Candidate Privacy Notice which explains how we collect, use, disclose, and protect personal information about job applicants during the recruitment and hiring process.

EY in Hoboken seeks a Senior Full Stack Engineer to develop high-quality software solutions across various technology stacks. The role requires experience in programming languages like Python or Java, and knowledge of RESTful API design is essential.

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Full Stack Engineer at Moxxi, you will play a key role in building and scaling our performance marketing platform from backend APIs and data services to intuitive, data-rich front-end experiences. You will collaborate closely with product, design, and business stakeholders to create tools that help Ad operators manage, optimize, and personalize campaigns in real time. This is a front-end leaning full-stack role where you will own features end-to-end, contribute to technical strategy, and help shape the evolution of Moxxi's ad delivery and optimization systems. If you thrive in fast-moving environments, love solving complex technical problems, and want to see your code drive measurable business impact, this is the role for you. Responsibilities: • Design, build, and maintain data-rich, low-latency, performant web applications using TypeScript, React, and Next.js., • Develop reusable, responsive UI components and design systems that scale across Moxxi's performance marketing tools and dashboards., • Collaborate with product and design teams to translate complex workflows into intuitive, elegant interfaces., • Build and maintain backend APIs and services (primarily in Go) that support front-end features and integrations., • Work closely with backend and data engineers to deliver campaign analytics, reporting, and personalization features., • Implement robust testing, monitoring, and performance optimization practices for frontend and API layers., • Contribute to architecture discussions, technical design, and system scalability planning., • Ensure code quality, maintainability, and accessibility across all user-facing surfaces., • Mentor and support junior engineers through code reviews and pair programming., • Collaborate cross-functionally with product, design, and operations teams to deliver impactful, user-centered solutions., • Stay current with trends in frontend frameworks, cloud-native systems, and AdTech innovation, bringing fresh ideas into Moxxi's platform.Basic Qualifications:, • 6–10 years of professional software engineering experience, including 4+ years building production-grade frontends., • Strong fluency in TypeScript, React, and modern frameworks like Next.js., • Solid backend experience with Go (Golang), Node.js, or Python, and familiarity with RESTful or GraphQL APIs., • Strong understanding of state management, component architecture, and API design., • Experience integrating with cloud-native environments (GCP preferred) and containerized deployments (Docker, Kubernetes)., • Knowledge of SQL/NoSQL databases and basic data pipeline concepts., • Excellent product sense and ability to translate business needs into clean, maintainable solutions.Nice to Have / Bonus Qualifications:, • Experience in AdTech, MarTech, or marketing analytics platforms., • Background in data visualization or interactive analytics using tools like D3.js or Recharts., • Familiarity with AI/ML-driven personalization, A/B testing frameworks, or campaign experimentation systems., • Experience building and maintaining design systems or component libraries., • Familiarity with performance optimization techniques (lazy loading, bundle analysis, caching).Moxxi Values & Competencies:, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range$150,000—$180,000 USD

Job Description Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they're scaling quickly and expanding their AI product line. As an early engineering hire, you'll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you'll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You'll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role. What you'll do • Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows, • Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups, • Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability, • Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback, • Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time, • Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities, • Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architectureWhat we're looking for, • 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production, • Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services, • Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use), • Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred), • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred), • A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional, • Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfectionWhile not required, these are a plus:, • Experience with vector databases, embeddings, or semantic search is a plusOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Fullstack Software Engineer | AI-Native Healthcare Platform Location: New York, NY (In-Person)Experience: 3–7 Years Comp Range: $220,000 - $250,000 + Equity The Opportunity TechStaffers is partnering with a high-growth, venture-backed startup with $4 million in funding that is redefining how healthcare providers handle administrative workflows. This isn't just another SaaS dashboard; they are building an agentic AI platform designed to automate the complex, manual processes inherent in Revenue Cycle Management (RCM). As an early engineer, you will work on the frontier of AI application, building voice AI, browser agents, and generative features that interact directly with human operators. You'll be tasked with taking products from 0-to-1 and scaling them from 1-to-X in a space that is desperate for modernization. What You'll Do • Architect Agentic Workflows: Partner directly with customers to prototype and productize end-to-end solutions using LLMs, voice AI, and browser automation., • Fullstack Ownership: While slightly backend-leaning, you will build the React/Next.js interfaces and the robust Python backends that power these autonomous agents., • Customer-Centric Engineering: Develop deep domain expertise in healthcare billing to make high-level product decisions and empathize with the end-user., • Bridge AI and UX: Solve the unique challenge of how humans and AI agents interact within a seamless software environment. The Tech Stack • Backend: Python (Primary), • Frontend: React, Next.js, TypeScript, • Infrastructure: AWS Who You Are We are looking for a high-agency engineer who thrives in the "controlled chaos" of a high-growth startup environment. Required Qualifications: • Startup Pedigree: 3–7 years of experience, specifically at high-growth, high-caliber startups (e.g., the early days of Stripe, Samsara, or similar)., • Fullstack Proficiency: Strong Python skills with solid experience in React and Next.js. You should be comfortable leaning into the backend but capable of shipping polished UI., • Proof of Excellence: You have a track record of high achievement (e.g., Neo Scholar, experience at a top-tier firm, or a degree from a top 30 university)., • Zero-to-One Experience: You have a history of building and launching products from scratch., • Industry Interest: A genuine excitement to solve "unsexy" but high-impact problems in healthcare billing. TechStaffers is a technical recruiting company partnering with VC-funded start-ups across the United States. More information at .

Job Description Job Title: Data Engineer Location: Open (U.S. based, travel as needed) We are looking for a Data Engineer to design, build, and optimize modern data platforms that support advanced analytics and AI solutions. In this role, you will work with cross-functional teams to develop scalable data pipelines, manage secure data environments, and help organizations unlock the full value of their data. What You'll Do • Design and build batch and real-time data pipelines, • Develop and optimize large-scale data processing workflows, • Implement secure, reliable, and high-performing data solutions, • Work with structured and unstructured data across cloud and on-prem systems, • Collaborate with data scientists, engineers, and business stakeholders, • Support AI and machine learning use cases, including modern applications like RAG and vector databases, • Streaming platforms for real-time analytics, • Data pipelines that improve reporting speed and decision-making, • Optimization of large-scale data workflows to reduce cost and improve efficiency, • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, • 8+ years of experience in data engineering, software engineering, or similar roles, • Strong programming skills in Python, Scala, or Java, • Advanced SQL skills, including performance tuning and complex query optimization, • Hands-on experience with SQL Server and relational database design, • Experience with cloud platforms (AWS, GCP, Azure, or similar), • Familiarity with modern data tools such as Snowflake, BigQuery, Redshift, or Delta Lake, • Experience with tools like Databricks, dbt, or AWS Glue, • Knowledge of distributed systems (Spark, Flink, etc.) and streaming tools (Kafka, Kinesis), • Experience with workflow orchestration tools like Airflow or Prefect, • Understanding of DataOps, CI/CD, and monitoring tools, • Exposure to ML platforms or AI tools is a plus, • Competitive compensation and benefits, • Opportunities to work on cutting-edge data and AI projects, • A collaborative, fast-paced environment, • Strong focus on learning, mentorship, and career growth

Job DescriptionAbout the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help build and scale its core product. This engineer will work across the frontend and backend, contributing directly to customer-facing features as well as internal systems. The role offers a high level of ownership and influence over technical decisions in a fast-paced environment. This position is well-suited for an engineer who enjoys working closely with product and design, shipping quickly, and improving systems over time. What You’ll Do * Build and maintain full stack web applications used by customers and internal teams * Develop scalable backend services and APIs to support product features * Implement modern, responsive frontend interfaces with a focus on usability and performance * Collaborate with product managers and designers to define requirements and deliver solutions * Contribute to architectural decisions and technical roadmap planning * Write high-quality, well-tested code and participate in code reviews * Help improve engineering processes, tooling, and system reliability * Mentor junior engineers and contribute to a strong engineering culture Tech Environment The engineering team works with a modern startup stack, including: * Frontend: React, TypeScript, Next.js * Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL, Redis * Cloud & Infrastructure: AWS or GCP, Docker, CI/CD * APIs: REST and GraphQL * Tools: Git, GitHub, modern monitoring and logging tools What We’re Looking For * 5+ years of professional software engineering experience * Strong full stack experience with modern JavaScript/TypeScript * Proven experience building and maintaining backend services and APIs * Solid understanding of relational databases and data modeling * Experience deploying and operating applications in cloud environments * Ability to work independently and take ownership of projects * Prior experience in a startup or fast-moving product team is a plus Compensation & Benefits * Base Salary: $160,000 – $210,000 (San Francisco senior-level range) * Equity: Competitive equity package * Benefits: Medical, dental, vision coverage; flexible PTO; standard startup benefits * Work Model: Hybrid or remote-friendly depending on location and team needs Equal Opportunity This role is with an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status.

Job DescriptionAbout Loop: At Loop, we’re revolutionizing restaurant operations with AI-powered automation. Our technology helps restaurants streamline their workflows, reduce costs, and enhance customer experiences—all through intelligent automation. We’re a fast-moving, early-stage startup on a rapid growth trajectory, and we need a technical leader to build and scale our engineering team from the ground up. Role Overview:As a Staff Product Engineer, you will own a broad technical scope spanning frontend, backend, and AI systems. You’ll design, build, and scale features across the full product stack — from user-facing UI to robust backend services and AI-driven components. You’ll work directly with product, design, data, and leadership to deliver high-impact solutions that push our platform forward. This position is ideal for engineers who love building across the stack, enjoy solving complex problems, and want to deeply influence both product direction and technical architecture. Key Responsibilities: • Full-Stack Development: Lead design and implementation of scalable frontend architecture using modern web technologies. Translate UI/UX designs into responsive, accessible, and performant applications. Build and maintain backend systems and APIs to power core product functionality. Ensure smooth integration between frontend interfaces and backend services., • Architecture & Best Practices: Contribute to high-level architecture decisions across the stack.Create scalable, maintainable systems with high code quality. Apply critical thinking to propose innovative solutions and continuously improve technical processes., • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to define and prioritize roadmap features. Participate in customer-focused discussions to understand pain points and translate them into technical solutions. Mentor and guide team members, championing best practices and high engineering standards., • AI Systems: Collaborate on AI-driven features, integrating models or intelligent workflows into platform components.Help design systems that support data pipelines, model inference, and AI feedback loops.Qualifications:, • 6+ years professional experience building production-grade software., • Solid backend experience — building services, APIs, and database integrations with Python, Django, or comparable stacks., • Demonstrated ability to work across frontend and backend contexts with clean, maintainable code., • Experience with version control, deployment pipelines, and performance optimization., • A proactive mindset and ability to work independently in a fast-paced startup environment. Nice to Have:, • Experience building or working with AI agentic workflows, including orchestration, tool usage, and multi-step reasoning systems., • Strong frontend expertise in React.js, including performance optimization and scalable component architecture., • Ability to think beyond pure engineering — strong business and product acumen., • Demonstrated curiosity and interest in working backwards from the customer, identifying real pain points, and translating them into technical solutions., • Passion for building end-to-end features that create measurable product impact. Why Join Us?, • Impact: Drive major product areas from inception to production., • Growth: Learn and contribute to both frontend, backend, and AI systems., • Ownership: Shape architecture and influence product strategy.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. Forward Deployed Engineers build our business within the context of a single customer at a time. They seek out valuable problems that hold our customers back. The problems we work on are multi-domain, affecting cashflow, production, safety, and the environment. A Forward Deployed Engineer doesn’t stop at finding problems, but goes on to create solutions and prove their value, owning the process from start to finish. Forward Deployed Engineers, by solving a specific version of the problem for a specific customer, also help to navigate Gecko’s platforms - Gecko’s tools that scale across customers. What you will do * Solve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. * Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so. Technologies We Use * Python, Javascript, React * Google Cloud, Amazon Web Services About You * Bachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. * 3+ years of experience in a similar position. * Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. * Understanding of how technical decisions impact the user of what you’re building. * Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages. * Ability to work effectively in teams of technical and non-technical individuals. * Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users. * Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision. * Willingness and interest to travel as needed. Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $140K - $245K

Job DescriptionPython: Sr. Software Engineer and Engineering Managers Locations: NYC, Texas – Each Position Can Be On Site, Partially or 100% Remote 115k – 185K base with some flex - Fulltime Depending On Experience Billion-dollar Fintech company in the consumer lending market is now redesign/rebuilding its platforms, tools and infrastructure through automated underwriting, innovative credit products, and in house financing. Candidates MUST have a minimum of 5 years of Python, Java and JavaScript experience for the SW Engineer positions and 7+ for the Engineering Manager positions. NO Python, NO interview. Candidates with work in their stack with technologies such as Python, Django, PostgreSQL, JavaScript, React, and Node.js Candidates with SIMILAR TECHNOLOGIES will also work. Will validate functionality of applications and implement automated tests to catch regressions • Review code and fix bugs. Will work with amazing, collaborative teams in a variety of focused projects. This is certainly a bare bones description of what candidates will be working on. Plus: Finance Experience. UNFORTUNATELY COMPANY CAN’T SPONSOR/Must live in the US.

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: * Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. * Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. * Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. * Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. * Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. * Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. * Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. * Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: * Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. * Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). * Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). * Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. * Problem-solver with a product mindset and bias toward outcomes. * Excellent communication skills; able to partner across engineering, product, and business teams. * Comfortable in fast-paced, agile startup environments. * Bachelor’s degree in computer science or related field. Preferred * Master Degree or PhD in computer science or related field * Experience in training and deploying large language models. * Familiarity with cloud computing platforms and distributed computing. * Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. * Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). * What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

We are seeking a Senior Software Engineer with strong Python engineering expertise and front‑office platform experience to support the development of next‑generation technology for structured products and equity derivatives. Exposure to structured products, structured notes, or equity derivative

Familiarity with software development best practices, source control, and CI/CD pipelines. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related discipline.

A leading gaming company in New York seeks a Senior Software Engineer to develop high-performance software solutions for facial animation.

Job DescriptionBenefits: • 401(k) matching, • Bonus based on performance, • Dental insurance Onsite Miami, Fl $135-160K base , 10% bonus Overview We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Qualifications Required: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions. Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). Deep understanding of big data tools (Hadoop, Spark) and ETL processes. Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake). Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization. Experience designing and managing data warehouses for performance and scalability. Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred Strong experience in software architecture, design patterns, and code optimization. Expertise in Python-based pipelines and ETL frameworks. Experience with Azure Data Services and Databricks. Excellent problem-solving, analytical, and communication skills. Experience working in agile environments and collaborating with diverse teams.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $110K - $250K

A leading software development company in New York is seeking an entry-level Python engineer to join their team in the Brooklyn office.

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Location: NYC, New York - Onsite Work Required We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. Key Responsibilities: • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica., • Design and implement data workflows on Snowflake or comparable cloud data platforms., • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations., • Write efficient, maintainable, and well-tested Python code following object-oriented principles., • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis., • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell., • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency., • Strong proficiency in Object-Oriented Python development., • Experience designing and executing ETL processes, preferably with Informatica., • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery., • Solid SQL skills for complex query writing and performance optimization., • Proficiency in scripting languages like Shell, Bash, or PowerShell., • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts., • Familiarity with software development best practices, source control, and CI/CD pipelines., • Experience working in Agile environments., • Full working proficiency with English (Written and Verbal) Preferred Qualifications: • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures. We are looking for a Trading Operations Engineer to join our team. As we expand into new markets, it's an especially exciting moment to join our international and diverse group of experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. We work in an environment of learning & collaboration, which allows us to solve the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. What we do: We trade stocks, and futures almost on all US exchanges such as: NASDAQ, NYSE, ARCA, EQ Cboe, CME, CFE, etc. Position Highlights: • You’ll play a critical role in the operation and monitoring of low-latency trading strategies implemented at Atto Trading., • You’ll perform proactive analysis and upgrading of trading pipelines by writing scripts to automate and improve daily trading processes and reporting. Advantages of our Company: • A company that continually invests in updating the technology stack., • Creative approach in choosing the hardware and software for the work you do., • A great team with a passion for continuous learning and improvement., • No external clients, we are the only users of the products we create., • Opportunity to have an impact on the company's bottom line by holding a significant position in the company. Responsibilities: • Monitor and manage Atto Trading’s automated trading systems, ensuring smooth and uninterrupted operations., • Proactively assess live trading activity for risk and compliance concerns, responding swiftly to unusual market behavior., • Collaborate with traders, engineers, brokers, and exchanges to resolve intraday issues in real time., • Communicate directly with exchanges and clearing members to investigate and resolve live trading issues., • Partner with software engineering teams to enhance and maintain trading infrastructure and internal monitoring systems., • Automate and optimize trading support workflows and pipelines using Python and Bash scripting., • Support daily risk operations by generating reports and executing defined risk procedures., • Document production incidents and maintain comprehensive logs and monitoring protocols., • Manage and maintain enterprise systems related to pipeline scheduling, software releases, and operational monitoring., • 2+ years of experience in a trade support or risk operations role within financial markets (preferably with exposure to HFT)., • Strong hands-on experience with Python/Jupyter/SQL for data analysis and automation., • Experience using Unix/Linux systems and command-line tools., • Strong analytical and critical thinking skills with sharp attention to detail., • Proven ability to manage multiple priorities in fast-paced environments., • Strong interest in trading and finance, with a solid knowledge of electronic markets, market data, and exchange order entry systems., • Competitive compensation package, • Performance-based bonus opportunities, • 401k plan, • Mental health support, including access to therapy, • Paid time off (25 days), • Relocation support (where applicable), • International team meet-ups, • Learning and development support, including courses and certifications, • Access to professional tools, software, and resources, • Fully equipped workstations with high-quality hardware, • Modern office with paid lunches The base salary for this role is between $150,000 and $200,000. This does not include bonuses, benefits, or other components of total compensation.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: Join CoreWeave's Observability team, where we are building the next-generation insights layer for AI systems. Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights. About the role: As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer. You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways. Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure. Who You Are: • 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs., • Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs., • Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience., • Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana., • Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety., • Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed., • Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.Preferred:, • Experience operating Kubernetes clusters at scale, especially for AI workloads., • Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization., • Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management., • Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk., • You love transforming complex telemetry into actionable insights., • You're curious about agentic interfaces and the future of AI observability. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. Join StubHub's Edge Services team as a Software/Security Engineer and help shape the global infrastructure that keeps millions of fans connected, secure, and engaged—right at the edge. You'll work on state of the art CDN architecture, advanced bot mitigation, and real-time fraud defenses, collaborating with top-tier security and platform teams to drive innovation at massive scale. This is your chance to build resilient, high-performance systems that directly power one of the largest live event marketplaces in the world. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA or Aliso Viejo, CA About the team: The Edge Services team at StubHub owns the platform that powers our global content delivery and edge security posture. The team is responsible for CDN infrastructure, bot management, DNS, and traffic-layer protections that help keep our customers safe and our site performant. The team treats edge infrastructure like a product—standardizing interfaces, applying zero-trust principles to edge security, and building scalable tooling to enable internal teams. The team collaborates closely with Security Engineering, SRE, and product development teams to provide best in class availability, reliability & security of StubHub's edge-services. What You'll Do: • Design, implement, and operate CDN infrastructure using AWS CloudFront, Global Accelerator, bot management, and related services., • Develop scalable systems for detecting and mitigating malicious automated traffic, using both commercial bot management platforms and homegrown controls., • Codify reusable Infrastructure as Code (IaC) modules to enable other teams to deploy edge services safely and consistently., • Integrate with fraud detection pipelines to inform real-time blocking or scoring decisions at the edge., • Collaborate with security and platform teams to enforce zero-trust controls, request validation, and origin shielding., • Integrate CDN & bot management application coverage into existing developer platform software & automation products., • Drive edge observability strategy using metrics, traces, and logs to detect anomalies and optimize performance., • Evaluate and implement new technologies (e.g., edge compute, rate limiting frameworks, multi-CDN failover strategies)., • Expert level experience with AWS edge and networking services (CloudFront, WAF, Route53, Shield, Global Accelerator)., • Expert level proficiency with Terraform and infrastructure-as-code patterns in production., • Deep experience implementing or operating enterprise-grade bot management platforms (e.g., HUMAN, AWS Bot Control, Cloudflare Bot Management, Akamai Bot Manager)., • Advanced knowledge of HTTP protocol, CDN caching strategies, edge compute functions (e.g., Lambda@Edge), and TLS management., • Strong software development experience in a modern language (e.g., Python, Go, TypeScript, Java)., • Track record of building safe, observable, and performant infrastructure at scale., • Experience authoring real-time request evaluation logic at the edge., • Familiarity with HTTP/2, QUIC, and emerging transport protocols for low-latency content delivery., • Familiarity with custom device fingerprinting, rate limiting, and CAPTCHA challenge orchestration., • Experience supporting traffic segmentation, geo-steering, or multi-CDN architecture., • Background in high-scale event collection and processing for edge analytics., • Proficiency in implementing defense-in-depth mechanisms for Layer 7 attacks., • Proficiency in building distributed rate-limiting or request scoring systems., • Familiarity with principles of secure system design and zero-trust architectures., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Lightspeed is seeking a Senior Software Engineer in New York City to build advanced risk-management features. This role requires 5+ years of experience in developing production-ready software and proficiency in TypeScript, JavaScript, HTML/CSS, and Python. The position offers a competitive salary be

Job Description Lead Staff Software Engineer We are looking for a deeply hands-on staff engineer to help build a production-grade platform from the ground up inside a financial services environment. This is a design, build, and scale from zero opportunity. You will operate across backend systems and infrastructure, owning everything from async processing and external integrations to cloud architecture, deployment pipelines, and reliability. If you have built greenfield systems that had to actually work in the real world; secure, observable, and resilient than this is your lane. You will own the core system end-to-end: • Design and build backend services, async workers, and event-driven workflows powering the product, • Develop and maintain integrations with external enterprise systems and APIs, • Architect workflow and state management systems (think orchestration, retries, failure handling), • Build the cloud foundation: infrastructure, environments, and deployment architecture, • Own infrastructure-as-code and ensure environments are reproducible and scalable, • Design and implement CI/CD pipelines with a strong focus on safe, reliable releases, • Establish observability across the stack: logging, metrics, tracing, and alerting, • Build for failure: retries, recovery strategies, backups, and disaster readiness, • Partner closely with product and engineering to define system boundaries, contracts, and rollout strategies Ideal experience: • Proven experience building 0→1 systems that made it to production in real environments (ideally financial services or similarly regulated domains), • Strong backend engineering skills in Python, with experience in frameworks like FastAPI (or similar), • Deep experience with asynchronous systems, job workers, and distributed processing, • Track record integrating external APIs and enterprise platforms in production, • Strong data layer experience (Postgres/SQL, data modeling, performance tuning), • Hands-on experience with cloud infrastructure (AWS preferred, Azure a plus), • Strong Terraform (or equivalent IaC) experience, • Experience with containerized deployments (ECS or similar) and cloud networking, • Built and operated CI/CD pipelines with an emphasis on release safety and rollback strategies, • Strong observability mindset (metrics, logs, tracing) and real incident response experience, • Solid understanding of cloud security, secrets management, and access controls, • Systems thinker: you naturally design for reliability, failure modes, and long-term maintainability Bonus • Familiarity with AI/model API integrations (e.g., OpenAI or similar) This role is for someone who wants to own meaningful surface area, make foundational decisions, and build something that doesn’t exist yet while holding a high bar for reliability, security, and real-world operability.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer (Azure) - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. WHAT YOU BRING Core Capabilities * Proven experience designing and building production-grade systems on Azure * Ability to take ambiguous requirements to structured technical solutions to delivered systems * Strong technical communication skills across engineering and non-technical stakeholders * High ownership mindset with a bias for action and accountability * Collaborative approach with a focus on building durable, scalable solutions Functional Expertise * Azure cloud services (networking, compute, identity, security, storage) * Terraform (infrastructure as code at production scale) * Programming experience in Go and/or Python * Experience building greenfield infrastructure environments * Distributed systems, high-availability architectures, or platform engineering * CI/CD and automation tooling for infrastructure lifecycle management Nice to Have * Kubernetes and container orchestration * Observability tooling (Prometheus, Grafana) * Workflow/orchestration platforms (Argo, Spacelift, or similar) Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.