Anchorage Digital - Member of Technical Staff, Reporting & Statements (Backend Engineer)

• Design and implement RESTful APIs and GraphQL endpoints that serve financial data to internal product teams and external clients • Build service integration layer between backend services and the data platform, ensuring reliable data flow and error handling • Complexity and Impact of Work: • Shape architectural decisions collaboratively for the API and service delivery infrastructure as a founding engineer on the team • Balance competing requirements of accuracy, performance, and scalability while delivering reporting products on tight client deadlines • Organizational Knowledge: • Collaborate closely with Data Engineers on data contracts and SLAs to ensure seamless integration between the data engine and API layer • Partner with Product teams to design APIs that enable self-service access to financial data • Communication and Influence: • Champion API design best practices and service reliability standards in partnership with teams across the engineering organization • Contribute to technical roadmap planning and help build a supportive, collaborative engineering culture for the new team • You may be a fit for this role if you: • 5-7+ years building backend systems: You have experience collaborating on designing and shipping production APIs and services that handle complex business logic at scale • 5-7+ years building backend systems: • Service stewardship mindset: You’ve been responsible for services end-to-end in production environments and understand what it takes to build reliable, observable, maintainable systems • Service stewardship mindset: • API design experience: You’re proficient in Go or Python with hands-on experience building RESTful APIs, and you understand how to design interfaces that balance flexibility with performance • Data-intensive systems: You’ve built backend services that interact with databases (PostgreSQL, BigQuery, or similar) and understand query optimization, connection pooling, and data consistency patterns • Data-intensive systems: • Cloud-native development: You have experience deploying and operating services on cloud platforms (preferably GCP), including containerization, monitoring, and incident response • Cloud-native development: • Although not a requirement, bonus points if: • GraphQL experience: You’ve built GraphQL APIs and understand the tradeoffs between GraphQL and REST for different use cases • Financial domain knowledge: You’ve worked in fintech, banking, or similar environments where data accuracy and auditability are critical requirements • Financial domain knowledge: • Data platform collaboration: You’ve worked closely with data engineering teams and understand modern data stack patterns (data warehouses, orchestration, CDC, etc.) • Data platform collaboration: • You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)