Staff Engineer, AI Gateway

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

• 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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