Staff Backend Engineer building agentic systems that improve software development productivity at GitLab. Setting architecture, evaluating correctness, and scaling greenfield DevSecOps automation.
About the role
- Software Engineer developing backend services that support fraud prevention and financial risk mitigation. Collaborating with data scientists and analysts to enhance risk management systems.
Responsibilities
- 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 maintaining high code velocity, participating in code reviews, and building reusable solutions that can be leveraged across the team.
Requirements
- 2+ years of experience in backend software engineering, with a track record of shipping production services handling high-throughput workloads across multiple concurrent projects.
- Proficiency in at least one backend language (e.g., Go, Ruby, Python, Java) with experience working across relational and/or NoSQL databases, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and event-streaming architectures (Kafka, RabbitMQ).
- Strong understanding of software design patterns, data structures, and algorithms, with the ability to independently manage complex tasks and work in unfamiliar systems with guidance.
- Experience building or working with high-throughput, low-latency distributed systems, including APIs, event-driven architectures, and cloud infrastructure.
- Experience with risk, fraud detection, payment systems (ACH, cards, crypto), blockchain technology (e.g., Bitcoin, Ethereum), or the unique risk challenges associated with crypto transactions.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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