Performance & Reliability Engineer

• Define and execute NFR test strategies, plans, and acceptance criteria for enterprise applications.
• Design and perform performance, load, stress, endurance, scalability, failover, recovery, and reliability testing.
• Create realistic test data, workloads, and production-like environments for NFR validation.
• Analyze system bottlenecks across applications, databases, infrastructure, and networks, and drive optimization efforts.
• Validate system resilience through failover, disaster recovery, chaos, and recovery testing.
• Integrate automated NFR testing into CI/CD pipelines and leverage AI tools to accelerate test design and analysis.
• Evaluate system performance, availability, latency, throughput, and reliability against defined SLAs/SLOs.

• 6-8 years of experience in Performance Engineering, Reliability Engineering, or NFR Testing.
• Strong hands-on expertise with Apache JMeter .
• Experience defining and implementing NFR test strategies for large-scale enterprise applications.
• Strong knowledge of:
• Performance, Load, Stress, and Endurance Testing
• Reliability, Scalability, Resilience, and Failover Testing
• Capacity Planning and Recovery Testing
• Chaos Engineering

• Experience creating synthetic test data and realistic test environments.

• Experience creating synthetic test data and realistic test environments.
• Knowledge of distributed systems, microservices, cloud platforms, and observability tools such as Grafana, Dynatrace, Splunk, or Prometheus.
• Hands-on exposure to AI tools such as Copilot, Claude, or ChatGPT .

• Experience testing large-scale platforms such as OTT, collaboration platforms (e.g., Teams), or other high-volume enterprise systems.
• Medical/Healthcare domain experience is a plus but not mandatory.
• Strong learning mindset and passion for Performance & Reliability Engineering.