Staff Backend Engineer, Core DevOps

Accountabilities: • Lead the technical design and delivery of backend initiatives spanning multiple teams, identifying and resolving systemic engineering bottlenecks.

• Drive modular backend, service, data, and platform architecture, including the modernization of monolithic and legacy systems while avoiding unnecessary service fragmentation. • Define and improve engineering standards covering APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability. • Establish effective patterns for dependency management, data ownership, event-driven architectures, failure isolation, service maturity, and operational documentation. • Guide Go service architecture and Kubernetes operating practices where appropriate, while supporting the adoption of Rust for systems, security, performance, and supply-chain requirements. • Participate in on-call rotations and incident response, acting as a technical escalation point for complex production issues and turning incident learnings into lasting improvements. • Partner with Product and Engineering leadership to shape platform roadmaps, technical priorities, and investment decisions. • Mentor Senior and Intermediate engineers, reduce technical debt, and develop reusable patterns that improve engineering productivity and team throughput. • Lead the responsible adoption of AI-assisted and agentic engineering workflows, ensuring appropriate quality, security, privacy, and operational safeguards.

Requirements:

• Demonstrated experience leading significant technical initiatives across multiple engineering teams or broad product areas. • Deep backend architecture and production experience with complex applications, services, platforms, APIs, data systems, modular monoliths, or shared backend components. • Proven experience modernizing monolithic or legacy backend architectures in production using approaches such as bounded contexts, package encapsulation, ports and adapters, service extraction, or event-driven boundaries. • Strong ability to build technical alignment through clear written proposals, architecture documentation, and decision records. • Experience balancing customer outcomes, delivery speed, technical health, reliability, and long-term platform investments. • Strong mentoring and leadership skills, with experience shaping engineering standards through code reviews, documentation, and established practices. • Production experience using AI-assisted or agentic engineering workflows and improving how teams integrate these tools into their development processes. • Strong communication and collaboration skills, with the ability to influence technical direction without relying on formal authority. • Comfortable working independently in a remote, asynchronous engineering environment.