• Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability • Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience • Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) • Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention • Strengthen the team by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase • Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

• Lead, mentor, and motivate engineers to achieve individual and team goals while fostering a collaborative, high-accountability environment • Own technical direction and day-to-day engineering execution for GovIntel and GovChannel workstreams • Design, build, and operate high-impact features across modules such as opportunity ingest, teaming, FPDS/award search, sourcing, quoting, fulfillment, maintenance/support, and reporting/analytics • Work closely with product and business stakeholders to translate customer and market needs into clear technical designs, delivery plans, and backlog priorities • Partner across functions to ensure the platform supports the workflows of business development, sales, sales management, fulfillment, procurement, finance, and executive users • Establish and uphold engineering best practices across code quality, testing, CI/CD, observability, performance, reliability, and scalability • Drive architecture and implementation decisions for APIs, integrations, and services that connect product capabilities and surrounding systems • Lead code reviews, design reviews, incident response, root-cause analysis, and continuous improvement efforts for the team’s services and workflows • Use AI-assisted engineering tools thoughtfully to accelerate development, documentation, refactoring, and testing while maintaining strong human review and engineering judgment • Coach engineers in technical growth, ownership, and execution discipline, and help scale strong engineering practices across the broader organization

• Own the end-to-end technical architecture of Coinbase's Risk Platform, including real-time fraud detection engines, risk decisioning systems, financial risk monitoring, and mitigation infrastructure operating at high throughput with low latency and 24x7 availability • Shape multi-quarter technical strategies for the Risk Platform, identifying opportunities to simplify complexity, improve reliability, reduce fraud losses, and scale risk capabilities across new products, asset classes, and jurisdictions • Lead the design and implementation of critical risk systems, translating ambiguous, high-stakes business requirements into scalable, resilient architectures that balance fraud prevention with user experience • Partner cross-functionally with Data Science, ML, Product, Compliance, and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements • Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention • Strengthen the team's technical capability through architecture reviews, code reviews, engineering standards for quality and performance, and hands-on mentorship of engineers at all levels

Job Summary About the Role: Looking for a Senior Backend SDET with strong experience in Java and API automation to build scalable test frameworks and support high-quality backend systems in an Agile environment. Key Responsibilities: • Design and maintain automated test frameworks for backend services and APIs • Write and execute API tests using Java, Karate, RestAssured, and Postman • Validate backend data using Cassandra or other NoSQL databases • Integrate automation into CI/CD pipelines with GitHub and GitHub Actions • Collaborate with developers and QA to improve coverage and reliability • Document test cases in Confluence, track work in Jira Required Skills: • 5-7 years in backend test automation or SDET roles • Strong in Java and API testing tools • Understanding of REST APIs, HTTP, and backend architecture • Familiar with Git, CI/CD, Jira, Confluence Nice to Have: • Experience with Microsoft Azure or other cloud platforms