Lead Software Engineer - Performance Engineer

Build, run, and analyze automated performance tests including load, stress, soak, spike, and capacity scenarios for high-traffic distributed systems.

Contribute to defining and reporting on non-functional requirements (NFRs), service level objectives (SLOs) including latency percentiles, throughput, and error budgets, and integrate performance gates into CI/CD pipelines.

Collaborate with architecture, SRE, and application teams to identify and remediate performance risks, build dashboards and alerts linking test and production telemetry, and support chaos and resiliency experiments.

5+ years software engineering experience including 3+ years in performance engineering for high-traffic distributed systems (web, APIs, microservices, event-driven).

Hands-on experience with Java/Spring Boot and working knowledge of Kubernetes (EKS).

Proficiency with load testing tools like JMeter or BlazeMeter, scripting in Java, Python, or TypeScript, and knowledge of CI/CD / DevOps tooling (Jenkins, GitLab, GitHub Actions).

Experience with observability/APM tools such as Dynatrace or OpenTelemetry; Experience building dashboards in Kibana and/or Grafana.

Experienced in applying statistical analysis and workload modeling for performance metrics such as percentile latencies and error budgets in distributed environments.

Demonstrates strong collaboration skills to work cross-functionally with architecture, SRE, and app teams to drive performance improvements and operationalize metrics.

Comfortable working hands-on in both engineering and automation roles including performance test creation, environment virtualization, fault injection, and integrating AI-assisted engineering tools into workflows.