Staff Backend Engineer, Core DevOps

• Lead the technical design and delivery of backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups.
• Drive modular backend, service, data, and platform architecture, including modernization of the monolith and legacy backends while preventing fragmentation and service sprawl.
• Define and improve standards for application programming interfaces, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability.
• Establish patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation.
• Establish Go service patterns and Kubernetes operating practices where they matter to the production estate, and guide Rust adoption where it addresses systems, security, performance, or supply-chain needs.
• Take part in on-call and incident response for systems your teams own, serve as a technical escalation point during complex incidents, and turn lessons from incidents into lasting improvements.
• Partner with Product and Engineering leadership on platform roadmap decisions and investment trade-offs.
• Mentor Senior and Intermediate engineers, reduce technical debt, build reusable patterns that improve team throughput, and lead adoption of artificial intelligence-assisted and agentic workflows with quality, security, privacy, and operational guardrails.

• A record of leading technical work across more than one team or a broad product area.
• Deep backend architecture and production experience with complex applications, services, or platforms, including application programming interfaces, service platforms, data systems, modular monoliths, or shared backend components.
• Experience modernizing a monolith or legacy backend architecture in production and using modular approaches such as bounded contexts, package encapsulation, ports and adapters, service extraction, or event-driven boundaries.
• Experience building alignment through clear written proposals and decision records so teams document, understand, and adopt technical decisions.
• Experience making trade-offs among customer outcomes, delivery speed, technical health, reliability, and long-term platform investment.
• Experience mentoring engineers and shaping standards through code review, documentation, and practice.
• Production experience with artificial intelligence-assisted or agentic engineering workflows, including improving how a team adopts them.

Pay range: $152K - $259K