• You'll join the Messaging Platform team - the core of our product - working on the backend systems that power partner and client APIs, WhatsApp channel lifecycle, billing, integrations, and more. • This isn't a ticket-grinding role. You'll own domains, shape architecture, and see the downstream impact of your decisions directly in production. • We work in Python across services that need to be correct, observable, and maintainable - not just fast to ship. You'll work closely with a small, experienced team and a tech-first leadership that values deep understanding over surface-level velocity.

• Designing & building applications using JavaScript. • Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team. • Assisting with defining structured practices, especially in source code management, building and deployment. • Designing and implementing data storage solutions. • Optimising performance in applications for maximum speed and scalability. • Getting feedback from users and clients, and building solutions for them. • Assisting with the analysis of client requirements. • Working with and supporting Technical Leaders in project execution and timely delivery. • Collaborating with client teams.

• Develop and maintain analyzer workflow logic within the ECL platform, owning the backend processes that drive analyzer operations end-to-end • Implement and extend workflow orchestration — managing analyzer state transitions, operational sequencing, and runtime event handling • Collaborate with the Analyzer Integration Engineer on the communication layer between ECL and connected analyzers • Support the DCU modernization effort by identifying workflow logic that can be extracted and repackaged into shared .NET libraries • Work with QA to ensure workflow correctness and reliability across analyzer types and edge cases • Participate in knowledge transfer from departing Hydra resources to preserve continuity of analyzer workflow behavior.

• Build and maintain backend services that power risk detection, fraud prevention, and financial risk mitigation across Coinbase's platform — operating at the scale, speed, and 24x7 nature of crypto markets. • Own feature delivery end-to-end — from technical design through implementation, testing, deployment, and monitoring — for risk platform capabilities that directly protect users and the business from financial threats. • Partner with Data Science, ML, and Risk Analysts teams to develop both proactive systems (models, user-facing risk features) and reactive solutions (one-off risk mitigations, incident response tooling) that reduce fraud and financial loss. • Drive reliability and observability in risk platform services by implementing mechanisms to identify regressions, ensure prompt visibility of issues, and contribute to incident response and post-mortems. • Contribute to the team's engineering culture by leaving code cleaner than you found it, maintaining high code velocity, participating in code reviews, and building reusable solutions that can be leveraged across the team.