Track Engineer Jobs

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity Our internal platform engineering team builds and maintains the systems that drive enterprise efficiency and support OKX's rapid global growth. As a Senior Staff Engineer, you'll be a key technical leader — driving architecture decisions, solving complex engineering challenges, and raising the technical bar across the organisation. What You’ll Be Doing Own and drive architecture and design for large-scale, complex internal platform systems Define and influence the long-term technical roadmap, ensuring scalability and reliability at global scale Lead platform modernisation initiatives — architecture evolution, technical debt reduction, and reliability improvements Collaborate closely with Engineering, Product, and Business stakeholders to deliver robust, scalable solutions Champion AI and intelligent automation adoption to improve operational efficiency at scale Provide technical mentorship and guidance to senior engineers across teams What We Look For In You Bachelor's or above in CS/Engineering; deep Java expertise with extensive large-scale distributed systems experience 8+ years in software engineering with a strong track record of technical leadership at scale Hands-on architecture ownership across complex, cross-team platform del

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations. What You'll Do Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing. Lead design reviews and set engineering standards across teams. Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale. Mentor and grow senior engineers; raise the engineering bar. Partner closely with product and infrastructure leadership on roadmap and direction. Continuous hands-on technical deliverables in the most critical areas. What We're Looking For 14+ years of software engineering experience with deep expertise in distributed systems. Demonstrated track record of defining and delivering platform-scale technical initiatives. Expert-level knowledge of streaming and/or batch data

About the Role We're looking for a Senior AI Engineer to help advance Amplitude's AI products and the foundations they're built on. As AI reshapes how customers analyze data, build products, and act on insights, we need engineers who can move fluidly between deep technical work and product judgment, shipping AI capabilities that customers and internal teams actually rely on. This role is both visionary and hands-on. You'll identify where AI creates the most leverage, build the systems that deliver it, and establish the patterns that let the rest of the company build faster on top of your work. You'll contribute to customer-facing AI products, the platform infrastructure beneath them, and the internal tooling that helps Amplitude operate as an AI-native company. What You'll Do Ship high-impact AI features and products that change how customers and internal teams work, from agentic workflows to embedded intelligence across the Amplitude platform Design and build the foundational infrastructure behind Amplitude's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes Set technical direction for AI systems at Amplitude, making thoughtful build vs. buy calls, shaping evaluation strategy, and influencing the long-term roadmap Who You Are You're a highly capable engineer with a strong track record of shipping AI-powered systems that people actually use. You bring deep technical instincts, strong product sense, and a forward-thinking view of where AI is heading. Experienc

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Software Engineer, Frontend to join the Consumer Payments team within the Consumer Product Group . This team owns the infrastructure, experiences, and controls that power how millions of users send, receive, and move crypto on Coinbase. You'll own critical user journeys across web and mobile, building fast, reliable, and delightful payment flows while mentoring junior engineers and driving down customer friction at scale. What you’ll do: Own end-to-end frontend development for core crypto money movement experiences, including send, receive, and transaction status tracking across web and mobile Drive measurable improvements in CUJ latency, availability, and SLOs for the payment flows you own Build new user-facing features - such as contact management systems and real-time transaction status trackers Partner with product, design, and backend engineering to scope, prioritize, and ship projects that reduce CX contact rates and improve the customer experience Identify and resolve frontend performance bottlenecks across payment flows, reducing end-to-end latency and improving reliability for millions of users Required skills and experience: 5+ years of software engineering experience with deep expertise in React and React Native Proven track record of shipping consumer-facing products end-to-end in a high-scale environment, with a focus on perfo

About Anyscale At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role The Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space. In this role, you’ll be able to Resolve customer issues and help in their successful adoption of Anyscale platform Be a technical advisor, and internal champion for our key customers Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution Contribute towards improvement of internal tools an

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Senior/Staff Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at the system and component levels. The ideal candidate has a strong background in test development, test execution, and root cause analysis with a proven track record of collaboratively managing risk throughout a fast paced development process. You’re excited about this opportunity because you will… Run and monitor tests within our facility as well as at outside test labs. Collaborate with a tight knit team to identify and understand test failures. Be hands-on in developing test methods and equipment to uncover failures before they happen in the field. Find clarity through root cause analysis of lab and field failures and suggest design changes to prevent them. Use your creativity to create novel and scaled tests for autonomous systems. We’re excited about you because you have… A bachelors or advanced degree in a relevant engineering discipline. Mastery of test equipment such as environmental chambers, vibration tables, water testers, DAQs, etc.. Ability to bring order to complex test and development programs via clear technical communication and documentation. Experience designing and building testers and equipment. Ability to write Python scripts to automate

At Beyond Finance, we've made it our mission to help everyday Americans escape the endless cycle of crippling debt and step into a brighter financial future. Through compassionate, individualized care, a culture focused on compliance and ethics, supportive user-centric technology, and customized financial solutions, we've helped over 1 million clients on their path to a brighter future. While we're proud of what we've already accomplished, we're searching for new collaborators to help us get to the next level! If you're looking to join a forward-thinking, rapidly growing organization with helping people as its number one goal, we want to hear from you. About the Role We are looking for a Senior DevOps Engineer who specializes in AWS and containerized environments. Our team runs infrastructure as a software project, deploying cloud resources using Infrastructure As Code and a GITOPS model. We leverage best in class tools, and press to eliminate entire classes of problems, rather than execute one off remediations. Our company and team are growing, we need strong contributors for major initiatives. What We're Looking For 5+ years of experience in a DevOps or Platform Engineering role. Infrastructure as Code expertise (Terraform/Open Tofu, Helm). A strong Devops SDLC mindset. Seasoned in orchestrating project prioritization and guiding teams through execution. Strong focus on fostering collaboration and developing strategic roadmaps Extensive experience with AWS and its core services (ECS/EKS, S3, RDS, Lambda, Etc.). Solid experience with CI/CD tools (AWS Codepipeline, Spacelift, CircleCI). Strong experience with containerization technologies like Docker, ECS, and Kubernetes. Strong experience with RDS/Aurora infrastructure management. Strong Debugging, Monitoring, and Triage skills. A track record of taking ownership of projects and seeing them through from design to production deployment. What You'll Do Develop and maintain our cloud infr

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase serves millions of developers on a shared, multi-tenant platform. At that scale, abuse is not an edge case — it is a continuous operational reality. Credential stuffing, free-tier compute abuse, API scraping, malicious project provisioning, and exfiltration attempts occur every day. We need someone who treats detection and response as a craft, and who can close the loop between signal, triage, and automated remediation. You will work directly with our Anti-Abuse Lead and embed with Platform Security and Product Security to build and operate the systems that protect Supabase and its customers from abuse at scale. This role sits inside the security org but operates at the intersection of security engineering, data analysis, and platform operations. This role provides follow-the-sun coverage alongside our existing Anti-Abuse and Platform Security team members. It is fully remote, with a strong preference for candidates based in APAC or the West Coast of the Americas . What You’ll Own Abuse Detection & Signal Triage Monitor Signals: Monitor inbound abuse signals across platform telemetry, HackerOne reports, support queues, and internal alerting pipelines. Triage End-to-End: Triage abuse cases end-to-end, assessing severity and blast radius, classifying actor types, and routing to the correct response track. Queue Ownership: Own the abuse case queue with clear SLAs to ensure no active threats age out without a definitive decision. Pattern Recognition: Identify complex patterns across distinct cases that point toward coordinated campaigns or emerging attack techniques. Incident Response & Remediation Lead Incidents: Lead response efforts for active abuse incidents, coo

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We have an ambitious goal to strengthen our international presence by growing a life-changing product, and your efforts will play an essential role in our collective success. Growth teams are at the heart of our products and decision-making to drive business growth. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who can build & own innovative applications, passionate about solving problems with distributed computing in building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Senior Software Engineer, with your technical expertise you will build and own innovative applications with a desire to achieve exceptional design fidelity, usability, accessibility, and performance. You will be responsible for sound technical execution of projects through hands-on development, quality-assurance, and prototyping. These projects will require close collaboration with our product managers, user interface designers, brand producers, data scientists, and engineering teams. You’ll be managing multiple exciting projects at once, so being able to juggle these initiatives is key! We’re also counting on you to be a champion for best engineering practices, guiding engineers, designers, and management along the way. We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. We’re looking for a candidate who thrives in tackling complex, ambiguous challenges and can

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We have an ambitious goal to strengthen our international presence by growing a life-changing product, and your efforts will play an essential role in our collective success. Growth teams are at the heart of our products and decision-making to drive business growth. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who can build & own innovative applications, passionate about solving problems with distributed computing in building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Senior Software Engineer, with your technical expertise you will build and own innovative applications with a desire to achieve exceptional design fidelity, usability, accessibility, and performance. You will be responsible for sound technical execution of projects through hands-on development, quality-assurance, and prototyping. These projects will require close collaboration with our product managers, user interface designers, brand producers, data scientists, and engineering teams. You’ll be managing multiple exciting projects at once, so being able to juggle these initiatives is key! We’re also counting on you to be a champion for best engineering practices, guiding engineers, designers, and management along the way. We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. We’re looking for a candidate who thrives in tackling complex, ambiguous challenges and can

Staff Software Engineer, AI-Native Web Platform P-1579 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you’ll have : Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Proven track record

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit