Performance Test Engineer

Role & responsibilities

Experience

10+ years of experience in Performance Engineering, with strong hands-on expertise across applications, APIs, JVM, databases, Linux, cloud, Kubernetes, microservices, and distributed environments.

Location

India / Bangalore

Employment Type

Full-time

Job Summary

• Design and evolve reusable Performance Engineering frameworks covering load, stress, spike, endurance, scalability, capacity, failover, and resilience testing, using JMeter, Python/pytest, and Bash.
• Strong hands-on experience in protocol-level performance scripting using HTTP/HTTPS, REST APIs, WebSocket, TCP/IP, and JDBC, including correlation, parameterization, authentication, session/connection handling, payload manipulation, persistent/concurrent connections, and protocol troubleshooting.
• Hands-on experience with Kubernetes-based microservices, including pod/container/node metrics, resource requests/limits, CPU/memory throttling, scaling, HPA, pod restarts, service communication, and application performance.
• Strong expertise in observability and performance monitoring, including installation/configuration of Prometheus, Grafana, and OpenTelemetry, with dashboards, alerts, and correlation of metrics, logs, and traces.
• Ability to perform end-to-end performance analysis and root-cause identification by correlating microservices, Kubernetes, JVM, database, Linux, network, load balancer, and infrastructure metrics.
• Strong hands-on experience in JVM and database performance engineering, covering GC, heap, threads, CPU/memory, Metaspace, JIT/code cache, query latency, TPS, connections, locks/waits, execution plans, indexing, and I/O.
• Derive production-based workload models from traffic, logs, monitoring data, API statistics, transaction volumes, peak-hour patterns, concurrency, and business usage, and convert them into realistic scalable performance workloads.
• Integrate Performance Engineering into CI/CD pipelines using GitHub, GitHub Actions, and Jenkins, including automated execution, reporting, SLA/SLO validation, performance regression detection, and quality gates; experience with AWS/Azure/GCP.
• Provide technical leadership and hands-on troubleshooting across the complete performance stack, drive capacity/scalability and resilience engineering, collaborate with Development, DevOps, Cloud, Database, and Infrastructure teams, and mentor engineers on modern Performance Engineering practices.
• Solid understanding of endpoint or OS-level performance testing, ideally with exposure to VDI, or endpoint-management platforms
• Exposure to applying AI/ML techniques for performance anomaly detection, predictive capacity analysis, or automated test-result triage.
• Strong client-facing communication skills comfortable presenting performance findings and recommendations directly to client stakeholders.

Preferred candidate profile

Perks and benefits