QA Engineer - Automation, Proxy, Networking | 8 - 12 yrs

Own quality end to end for secure Agent Gateway services, from test strategy and automation through release validation and post-deployment verification. You will test application, proxy, network, container, and dependency boundaries, diagnose complex failures, and improve release confidence using strong networking, security, LLM, and MCP knowledge.

• Own risk-based quality planning, end-to-end coverage, automation strategy, exit criteria, deployment validation, release readiness, and communication of residual risk.
• Design and automate component, API, integration, end-to-end, performance, security, resilience, and production-readiness tests in GitHub and Jenkins pipelines.
• Validate control-plane and data-plane behavior under latency, concurrency, retries, timeouts, backpressure, dependency degradation, failover, recovery, capacity, and rollback.
• Test TCP, UDP, TLS/mTLS, DNS, routing, load balancing, policy enforcement, HTTP/1.1, HTTP/2, HTTP/3, and QUIC using protocol-level and packet-level diagnostics.
• Validate MCP clients and servers, authentication, authorization, tool invocation, streaming, sessions, and safe agent workflows; drive cross-component defects through verified closure.

• Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

•

of quality or software engineering experience, including end-to-end testing and automation ownership for distributed, networking, security, proxy, or cloud services.

• Hands-on Golang and/or Python test automation for APIs, services, and end-to-end workflows, including CI/CD integration and Linux or container diagnostics.
• Experience testing L4/L7 proxy behavior, TCP/IP, DNS, TLS/mTLS, HTTP/1.1, HTTP/2, status codes, load balancing, packet analysis, and connection troubleshooting.
• Experience testing secure-access, ZTNA, SSE, or comparable products and validating OAuth 2.0, OIDC, SAML, tenant isolation, authorization, and policy enforcement.

• Experience validating Envoy, H2O, xDS, custom filters, API gateways, service meshes, or comparable high-performance proxy platforms.
• Experience testing Kubernetes services and AWS deployments, including diagnostics, connectivity, scaling, deployment safety, and recovery.
• Experience with traffic generation, OpenTelemetry, Prometheus, Grafana, Splunk, tracing, chaos testing, load testing, or production traffic analysis.
• Practical knowledge of LLM workflows and MCP clients, servers, tools, transports, authentication, authorization, and secure tool execution.
• Proactive ownership and cross-functional collaboration when driving ambiguous quality issues through verified end-to-end resolution.

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