Related skills
microservices graphql rest low-latency real-time๐ Description
- Own architecture of the Risk Platform: real-time fraud detection, risk decisions, 24x7.
- Define multi-quarter strategies to simplify complexity, improve reliability, scale risk.
- Lead design and implementation of critical risk systems with scalable, resilient architectures.
- Partner with Data Science, ML, Product, Compliance, and leadership to roadmap risk.
- Build AI-native risk systems to automate detection and responses.
- Mentor engineers and raise the team's engineering standards.
๐ฏ Requirements
- 8+ years backend software engineering with high-throughput, low-latency systems.
- Deep backend design: microservices, event-driven, REST/GraphQL, high availability.
- Proven ability to define multi-quarter strategies and influence engineering.
- Experience in complex domains delivering scalable, reliable systems.
- Mentorship and elevating technical bar through guidance and culture.
- Uses generative AI with human oversight to improve outcomes.
๐ Benefits
- Remote-first culture with quarterly in-person surges.
- Cross-functional collaboration with Data Science, ML, and Product.
- Mentorship and career growth through architecture reviews.
- AI tooling pilots to improve workflows.
- Inclusive workplace with equal opportunity and accommodations.
- Competitive total compensation and benefits.
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