Senior QA Engineer (Telangana)

Project description We're building a high-throughput analytics platform processing capital markets data with Java microservices, React UI, and OpenAI LLM integrations. Looking for an NFR-focused QA engineer to own performance, reliability, and security at scale. Responsibilities What You'll Do - Drive performance + load testing (APIs, UI, data pipelines, LLM calls) - Validate P95/P99 latency, throughput, and system scalability - Test resilience: failover, retries, rate limits, external dependency failures (LLMs, data feeds) - Identify bottlenecks across microservices, DB, caching, streaming (Kafka) - Perform LLM NFR validation: latency, fallback, prompt robustness, cost efficiency - Cover security aspects: auth flows, data protection, prompt injection risks - Define SLIs/SLOs, improve observability (metrics, logs, tracing) - Automate NFR checks in CI/CD pipelines Skills Must have - Hands-on experience with performance and load testing tools (k6, JMeter, Gatling) and analysis of P95/P99 latency, throughput, and concurrency - Solid understanding of Java-based backend systems (Spring Boot, REST APIs, async processing) and common performance bottlenecks - Knowledge of microservices and distributed systems (inter-service communication, retries, circuit breakers, caching) - Experience testing client-server web applications, including React frontend performance using browser profiling tools - Ability to analyze system metrics (CPU, memory, GC, threads) and identify root causes of performance issues - Hands-on experience with observability tools (Prometheus, Grafana, ELK, APM tools) for troubleshooting and monitoring - Working knowledge of databases and SQL, including query performance, indexing, and data consistency under load - Experience integrating tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) with automated NFR validation - Understanding of security fundamentals (OAuth2/JWT, OWASP risks) and ability to perform basic vulnerability testing - Ability to design and execute resilience/failure testing scenarios (timeouts, dependency failures, network issues) Nice to have - Experience with capital markets or low-latency data systems (real-time feeds, high-frequency data processing) - Familiarity with LLM/OpenAI integrations, including latency, reliability, and prompt-level risk testing - Exposure to streaming platforms (Kafka) and event-driven architectures in high-throughput systems .