4 hours ago
Responsibilities
- Own reliability, correctness, performance, security-related behavior, and user experience quality for assigned AI Gateway features and services.
- Create test strategies from incomplete requirements, identify risks, and make explicit coverage and trade-off decisions.
- Design and implement maintainable automated test suites, frameworks, harnesses, fixtures, and service virtualization.
- Use LLM-based tools and coding agents for test scaffolding, data generation, code navigation, and failure analysis while validating their output.
- Test AI Gateway provider API compatibility, policy enforcement, actions, and logging across the gateway data path.
- Debug failures spanning microservices, asynchronous workflows, Kubernetes networking, TLS, proxies, and CI infrastructure.
- Integrate and troubleshoot automated tests in CI/CD with appropriate parallelization, execution time, reporting, and signal-to-noise.
- Participate in shared production on-call, monitor service health, and resolve critical production issues.
- Collaborate with developers and product managers on testability, instrumentation, defect prevention, triage, and systemic fixes.
Requirements
- 8+ years of experience in software quality engineering, SDET, or test automation, including 5+ years with distributed systems, cloud services, or security/networking products.
- Strong software engineering and automation development skills in Python or Golang.
- Practical experience using LLM-based tools or coding agents in engineering work and evaluating their limitations.
- Demonstrated ability to independently drive ambiguous problems to working solutions and isolate complex root causes.
- Extensive hands-on experience testing REST APIs, microservices, and asynchronous workflows.
- Deep knowledge of test strategy, risk-based testing, layered test design, and coverage trade-offs.
- Experience building and troubleshooting CI/CD pipelines and the infrastructure supporting large test suites.
- Strong experience running and testing services with Docker and Kubernetes, including networking, service discovery, and configuration troubleshooting.
- Working knowledge of HTTP/S, TLS, proxy and gateway concepts, DNS, and AI Gateway deployment failure modes.
- Experience with defect isolation, triage, tracking, and tools such as Jira.
- Ability to collaborate technically with developers and communicate risks and trade-offs clearly to product managers, with exceptional written and verbal English.
- BS in Computer Science or an equivalent degree required.
- MS in Computer Science or an equivalent degree is strongly preferred.
- Preferred experience includes LLM provider APIs such as OpenAI, Anthropic, Google, or Bedrock; AWS, Azure, or GCP; hybrid and on-premises deployments; performance and load testing; resilience testing; and Prometheus, Grafana, or OpenTelemetry.
Benefits
- The team is hiring across all levels, with candidates individually assessed and appropriately leveled based on skills and experience.
- Employees receive opportunities for continuous education, mentorship, and career growth.
- The company promotes an inclusive workplace where employees are encouraged to bring their authentic selves to work.
- The application window is expected to close within 50 days.
Tech Stack
Categories
About Netskope
Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, addresses the needs of both security and networking teams by providing optimized access and real-time, context-based security for the AI ecosystem inclusive of agents, applications, tools, LLMs, people, devices, and data. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications – providing security and accelerating performance without trade-offs.