Platform Support Engineer Jobs

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that benefits all of humanity. As a Software Engineer on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. About the Role We are looking for a Software Engineer to join our team to build tools and services that enable AI research, evaluation, and data generation workflows. The best work in this role will start with an ambiguous design question and turn it into working research systems. You will work closely with researchers, designers, and engineers to build the evaluation systems, synthetic data generation pipelines, review tools, and supporting platform services. The goal is to make these workflows easier to create, run, and trust without requiring bespoke engineering support for each new design concept. You will help ensure that research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide useful evidence for product and model-training decisions while the underlying systems remain reliable and reusable. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build web applications, APIs, data models, and backend services for AI research workflows. Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts. Automate evaluation runs and generate useful reports for design, research, and engineering teams. Support synthetic data generation workflows for multimodal and conversational research, including tools that comb

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 . Staff Software Engineer, Backend (Platform - Identity IDV) We're hiring a Staff Software Engineer to own the multi-year technical vision and architecture for Coinbase's identity verification platform within Platform . This platform powers the decision engine, vendor orchestration, and infrastructure that determines whether an identity is genuine at global scale - processing approximately 700K verifications per month across Retail, Prime, and Institutional business lines. You'll define the identity trust layer that every Coinbase product will be built on, leading a three-year arc from platform consolidation through vendor-agnostic orchestration to self-serve scalability for the next billion users. What you'll do: Own end-to-end architecture and technical direction for Coinbase's IDV platform - the decision engine, vendor orchestration layer, and verification infrastructure that all business lines depend on. Lead platform consolidation by migrating all IDV onto a single decision-engine-driven platform, retiring 100+ legacy rules and fragmented paths, and eliminating single-vendor points of failure. Design and build vendor-agnostic orchestration with automated, real-time routing and failover that selects the optimal vendor per request and dynamically balances fraud prevention (FAR) against user access (FRR/SCR). Scale the platform to support every new product, re

About the Team The Merchant Knowledge Platform team, part of DoorDash’s Merchant organization, builds the systems that serve merchant, store, menu, and catalog data to experiences across DoorDash, Wolt, and Deliveroo. Our platform connects merchant information to the experiences people rely on every day, from discovering stores and searching for products to placing orders. We’re building the next generation of this global platform to support growing data volumes, new product capabilities, and AI-powered experiences. Our team brings together experienced technical leads and engineers early in their careers, with a shared commitment to engineering excellence and learning. About the Role We’re looking for an Engineering Manager to lead a team of talented engineers building and operating a platform at the core of our global marketplace. You’ll own the team’s technical direction and roadmap, working closely with engineers on architecture and design decisions while supporting their growth. You’ll partner with teams across the company to understand their needs, set priorities, and build shared capabilities that make merchant data reliable and efficient to access at scale. You must be located in the New York Metro Area for this hybrid position. You’re excited about this opportunity because you will… Shape the technical vision and roadmap for a global merchant data platform that supports consumer and merchant experiences across three companies. Guide the design of distributed systems that serve large volumes of data with high availability, low latency, and consistent performance. Partner with engineering, product, and business teams to turn shared needs into reusable platform capabilities and make clear decisions about priorities and tradeoffs. Support, coach, and develop a team of engineers with a range of experience, helping them grow their technical skills and ownership. Improve platform reliability and engineering practices while helping the team use AI tools to lea

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As an Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-prem, or a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The SupplyPlatform team develops robust architectural platforms and foundational features to empower Lyft’s global growth. We are seeking a highly motivated software engineering professional to advance the platform infrastructure supporting autonomous vehicles, premium offerings, taxi integration, and international expansion. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. As a Software Engineer for SupplyPlatform team, you’ll be responsible for enhancing the platform to support partner teams, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you. Responsibilities: Help establish roadmap and architecture based on technology and understanding of customer needs Write well-crafted, well-tested, readable, maintainable code Can help lead large projects from idea to positive execution Unblock, support and communicate with external and internal partners to achieve results Participate in code reviews to ensure code quality and distribute knowledge Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: 3+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus. BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience. Strong

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Growth Platform Engineering team builds the core systems and tools that drive user acquisition, engagement, and lifecycle growth at Affirm. Our platform enables personalized communications, intelligent experimentation, and scalable services that help customers discover and adopt Affirm’s products. We collaborate closely with Product, Data Science, and Experience teams to design APIs, event-driven services, and experimentation frameworks that reach millions of customers across thousands of merchants. This team’s work directly impacts how customers experience Affirm and fuels our long-term growth. We’re looking for a passionate Senior Software Engineer to design and build backend systems that power Affirm’s growth engine. This is a high-impact, cross-functional role that combines technical excellence with strong product intuition. You’ll contribute to scalable, secure, and extensible services that enable Affirm to reach new customers, improve engagement, and expand our product ecosystem. The systems you build will directly influence customer experiences and Affirm’s overall growth trajectory. What you'll do Drive planning and prioritization of projects based on product, technical, and business goals using data-driven decision making. Design and build scalable backend systems, APIs, and data models that power communications, experimentation, and personalization. Partner with Product Managers, Data Scientists, and Analysts to define and execute strategies for customer acquisition and engagement. Establish and uphold engineering best practices to ensure services are secure, observable, and performant at scale. Mentor and support junior engineers, contributing to a culture of learning, collaboration, and technical excellence. What we look for 6+ years of experience as a Software Engineer with

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca , AutoSync , Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. Learn more at tradercorporation.com . This role will be within our Collateral Management (CMS) team, a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian Lenders. --- About the CMS Registry Solution The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection. We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience . Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA. You’ll join a small, critical, high-impact support team (engineers, product owner, engineering manager) focused on keeping customer-facing systems reliable and resolving real production issues. You’ll own the operational health of key parts of the platform, contribute to incident response and reliability improvements, and help raise the quality bar through strong troubleshooting, documentation, and engineering judgment. The Software Engineer — Support is an individual contributor responsible for maintaining the relia

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. The Director, Software Engineering (Platform & Tool Development) is a senior technology leader responsible for the engineering, architecture, development, delivery, and support of Humana's Enterprise Quality Engineering (EQE) technology ecosystem, including the Enterprise Quality Engineering Platform (EQE+), AI Workspace, AI-powered engineering tools, quality engineering applications, developer enablement solutions, automation platforms, and enterprise shared services. This leader will oversee multiple engineering teams responsible for designing, developing, modernizing, and operating business-critical platforms and applications that support quality engineering, automation, AI adoption, engineering productivity, and enterprise delivery excellence. The Director will provide both strategic and hands-on technical leadership, ensuring engineering teams deliver highly scalable, secure, cloud-native solutions that meet enterprise reliability, performance, and operational excellence standards. The role requires deep expertise in modern software engineering, cloud platforms, distributed systems, AI-enabled technologies, platform engineering, and application development. The Director will partner closely with Architecture, Product Management, Quality Engineering, DevOps, Security, Data & Analytics, and business leaders to deliver innovative technology solutions that accelerate Humana's digital transformation and engineering effectiveness initiatives. Key Responsibilities Engineering Strategy & Technology Lead

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

P - 1381 At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Team The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams. As a Staff Backline Engineer, you will be a technical expert and escalation point for some of the most complex ML/AI issues. You will work across Support, Engineering, Product, and customers to troubleshoot difficult problems, reproduce issues, identify root causes, and drive them to resolution. What You'll Do Serve as a senior escalation point for complex ML/AI issues involving model training, inference, Model Serving, MLflow, Feature Engineering, with knowledge of Spark, Delta Lake, and distributed workloads. Perform deep technical investigations using logs, traces, metrics, profiling, configu

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Service Infrastructure enables Stripe’s engineers to build and ship products using efficient, reliable, service oriented architectures. This organization sits at the boundary between Infrastructure and Product where they engineer Stripe’s service frameworks, standard user-facing API semantics, async orchestration platforms, developer tooling, and mission critical product infrastructure (e.g. webhook fulfillment). Key priorities for this group include delivering an amazing internal developer experience, enabling Stripes to effectively leverage Infrastructure platforms, and driving systemic improvements to Stripe’s API availability. What you’ll do As an Engineering Manager of Managers within the Service Infrastructure organization, you will lead multiple teams, collaborate with infrastructure and product engineering leaders, and advance Stripe’s architecture. You will operate some of the company’s most critical services and you will collaborate with Stripe’s product engineering teams to develop frameworks and abstractions that accelerate the company’s most important product launches. Responsibilities Collaborate with high-visibility teams and their stakeholders to support key engineering initiatives. Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for your reports. Understand user needs and pain points to prioritize the right engineering work at the right time to enable p

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 You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the d

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.