Performance QA Engineer

Role : Cloud Performance QA Engineer

Work Location : Pune (Work from office)

Mandatory Skills : JMeter - performance testing, Python, Linux, Grafana / Prometheus

Job Summary

We are looking for a passionate and skilled Cloud Performance QA Engineer to evaluate the scalability, responsiveness, and resilience of our large-scale distributed system. This includes validating cloud microservices, databases, and real-time communication with intelligent radio devices.

As a key member of the QA team, you will be responsible for performance, load, stress, and soak testing, along with conducting chaos testing and fault injection to ensure system robustness under real-world and failure conditions. You'll simulate production-like environments, analyze bottlenecks, and collaborate closely with development, DevOps, and SRE teams to proactively identify and address performance issues.

This role requires a deep understanding of system internals, cloud infrastructure (AWS), and modern observability tools. Your work will directly influence the quality, reliability, and scalability of our next-gen wireless platform.

Key Responsibilities

• Design and implement robust load, performance, scalability, and soak tests using Locust, JMeter, or similar tools.
• Set up and manage scalable test environments on AWS to mimic production loads.
• Build and maintain performance dashboards using Grafana, Prometheus, or other observability tools.
• Analyze performance test results and infrastructure metrics to identify bottlenecks and optimization opportunities.
• Integrate performance testing into CI / CD pipelines for automated baselining and regression detection.
• Collaborate with cross-functional teams to define SLAs, set performance benchmarks, and resolve performance-related issues.
• Conduct resilience and chaos testing using fault injection tools to validate system behavior under stress and failures.
• Debug and root-cause performance degradations using logs, APM tools, and resource profiling.
• Tune infrastructure parameters (e.g., autoscaling policies, thread pools, database connections) for improved efficiency.

Required Skills & Experience

Nice to Have

(ref : hirist.tech)