Drive performance within the value stream by serving as the go-to expert for all performance-related matters, providing guidance to development teams and taking full ownership of performance oues.
Be an active member of the performance guild
Develop and execute performance test strategies targeting critical application paths and infrastructure layers.
Design and maintain load testing scenarios to simulate production-like conditions using tools such as Gatling, JMeter and K6
Analyze system behavior under load, isolate latency sources, and drive optimization efforts at application and platform levels.
Partner with SRE, infrastructure, and observability teams to build performance dashboards and proactive alerting mechanisms.
Integrate performance testing in CI / CD pipelines to enforce baselines and detect regressions.
Perform root cause analysis of incidents and contribute to long-term remediation strategies.
Validate scalability and throughput improvements following system changes or architectural redesigns.
Collaborate with development teams to enforce performance-conscious coding practices and architectural patterns.
Required Qualifications
Strong experience in Java application performance tuning.
Multiple years of software quality engineer experience with Java in microservice environments
Deep understanding of JVM performance metrics and GC tuning.
Hands-on experience with distributed systems and microservices performance diagnostics.
Experience with performance tools like Gatling, JMeter, Grafana K6 and CI / CD tools such as Github Actions
Experience working in containerized environments (Docker, Kubernetes).
Skilled in metrics and observability tooling (, Prometheus, Grafana, OpenTelemetry).
Strong analytical skills for interpreting performance data and generating actionable insights.
Preferred Qualifications
5+ years in performance engineering or similar roles in high-throughput systems.
Exposure to chaos engineering principles as they intersect with performance testing.
Experience in financial systems or similar latency-sensitive domains.
Familiarity with cloud-native performance challenges (preferably Azure).
Understanding of load balancers, caches, and messaging systems performance impact.
Experience with network-level performance tuning and protocol-level optimizations.