Staff Engineer, AI Gateway

• Service Architecture and Implementation. Design, build, and scale concurrent, robust microservices and APIs in Golang.
• AI as a Force Multiplier, You as the Reviewer. Use AI coding agents daily; specify problems precisely, push for generic reusable solutions, and reject output that adds technical debt or security flaws.
• Codebase Stewardship. Keep code lean and purposeful, consolidate common patterns so duplication goes down, and judge PRs on correctness, edge cases, tests, and abstraction level.
• Distributed Systems Correctness. Propagate policy configuration reliably to a global dataplane, reasoning about consistency, idempotency, caching, and failure modes.
• Customer Issue Resolution. Troubleshoot bugs and issues raised by customers in a timely manner, and turn recurring ones into structural fixes.
• Partnering Across Teams. Work with product, UI, dataplane, QA, and platform teams across time zones; raise design concerns early.
• Raising the Technical Bar. Shape engineering culture through design, architecture, and code reviews and mentorship.
• Operating What You Build. Join the shared on-call rotation and monitor the health of your services.

• Background. 8+ years in software engineering, with 5+ years on backend services and distributed systems.
• Golang Depth. Strong Golang skills across interface and package design, error handling, concurrency, performance profiling, and table-driven unit testing; hands-on with Gin and gRPC.
• Clean Code Mindset. Lean, readable, purposeful code; you know when an abstraction is earned and when it is premature.
• Practical AI Tooling Experience. Real-world use of LLM-based coding agents, with examples of steering them toward correct solutions and catching what they missed.
• Review Insight. Evaluate PR quality and give specific, well-reasoned feedback that improves both the code and the engineer.
• Distributed Architecture. Microservice patterns, REST/gRPC API design, event-driven systems (e.g., Kafka), and caching (e.g., Redis).
• Databases. NoSQL and SQL databases such as MongoDB and MySQL, including schema, sharding, and index design.
• Cloud-Native Delivery. Develop, deploy, and debug services on Kubernetes (e.g., Helm), and write application-level metrics (e.g., Prometheus).
• Ownership and Communication. Drive under-specified problems to shipped software. Strong verbal and written English. Proactive, timely communication; track cross-team dependencies and timelines and escalate risks early.

• Background in Secure Web Gateway, Zero Trust, CASB, or DLP products.
• Ability to benchmark competing technologies and justify architectural choices with measured trade-offs.
• Experience with multi-tenant SaaS control planes or policy/configuration systems.
• Hands-on cloud development on AWS, GCP, or Azure.
• Knowledge of emerging GenAI and cloud service security challenges and best practices.
• Experience in regulated environments such as FedRAMP.

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