Design and build internal AI-powered tooling and agentic workflows end-to-end: backend services, data pipelines, lightweight frontends, CI/CD, cloud deployment, MCP integrations, RAG/knowledge-graph/vector DB systems, and integrations with GitHub/Jira/Confluence to accelerate AI-assisted engineering workflows.

The role involves testing and validating wired networking protocols or enterprise wireless LAN, cloud platforms, and strong programming skills. Responsibilities include triaging complex issues, utilizing observability tools, and collaborating across teams.

The role requires a Sr QA Engineer with extensive experience in networking protocols and cloud platforms to test and validate systems, perform root cause analysis, and collaborate across teams.