Back
Tier-1 brand, metro location, and mid-level experience increase candidate competition density.
Technical performance skills transfer well, but financial/regulatory and low-latency domain experience increases fit sensitivity.
Explicit 5+ years plus specific performance tooling, SRE and observability requirements make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Execute performance engineering including building and running automated performance tests for load, stress, soak, spike, and capacity scenarios under guidance of Principal Engineer.
Contribute to non-functional requirements (NFRs), service level objectives (SLOs), observability instrumentation, and embed performance gates into CI/CD pipelines.
Partner with architecture, SRE, and application teams to identify performance risks pre-production and build dashboards/alerts correlating test signals with production telemetry.
5+ years software engineering experience with at least 3 years in performance engineering for high-traffic distributed systems (web, APIs, microservices, event-driven).
Hands-on experience with Java/Spring Boot; working knowledge of Kubernetes (EKS).
Proficiency with load testing tools such as JMeter and BlazeMeter; scripting skills in Java, Python, or TypeScript for automation.
Experience with observability tools like Dynatrace or OpenTelemetry; familiarity with CI/CD tools (Jenkins, GitLab, GitHub Actions).
Experienced in high-traffic distributed system performance engineering with strong software engineering skills in Java/Spring Boot and Kubernetes.
Capable of cross-functional collaboration with architecture, SRE, and application teams to preemptively remediate performance risks.
Proficient in building automated tests, dashboards, and embedding performance controls into CI/CD; comfortable with statistical latency/throughput modeling and observability metrics analysis.