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
Mandatory Skills Description:
- Hands-on experience with performance and load testing tools (k6, JMeter, Gatling) and analysis of P95/P99 latency, throughput, and concurrency
- Strong 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 Skills Description:
- 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
