Must-Have Qualifications

- 13+ years of experience in Quality Engineering, Performance Testing or Performance Engineering, including significant architecture, solutioning and technical leadership responsibilities.
- Proven experience defining enterprise performance engineering strategies, NFR models, reusable frameworks and performance-tuning recommendations.
- Architecture-level knowledge of more than two performance test tools, with practical exposure to both enterprise and open-source platforms.
- Hands-on experience with at least two APM/observability platforms and the ability to correlate logs, metrics and traces with performance results.
- Robust hands-on capability in thread dump analysis, heap dump analysis, garbage collection analysis, JVM/application diagnostics and infrastructure bottleneck analysis.
- Ability to design reusable utilities, accelerators or framework extensions using Python, Java or an equivalent programming language.
- Experience with CI/CD, Git, Docker, Kubernetes, cloud-based execution and distributed systems.
- Experience anchoring RFP/RFI responses, architecting solutions, estimating delivery scope and presenting to senior client stakeholders.
- Experience assessing process maturity and driving performance engineering transformation, governance and continuous improvement.




- Practical exposure to generative AI or agentic AI performance testing, including multi-turn workload modelling and AI-specific performance measures.
- Demonstrated ability to lead by example, mentor and coach engineers, and build high-performing technical teams.
- Strong systems thinking, analytical problem-solving, stakeholder influence, documentation, presentation and consulting skills.
- At least one relevant current cloud certification from AWS, Microsoft Azure or Google Cloud, and at least one recognized AI/Generative AI certification.
- Hands-on experience with Chaos Engineering concepts, GameDay execution and resilience validation methodologies.
- Experience designing and executing failure injection scenarios across cloud-native, microservices and distributed architectures.
- Strong understanding of SRE principles including SLIs, SLOs, Error Budgets, Reliability Engineering and Incident Management.
- Demonstrated ability to analyze resilience test results and drive architecture improvements.
- Hands-on experience in client-side performance analysis, Core Web Vitals optimization, Real User Monitoring (RUM), browser diagnostics and Digital Experience Monitoring (DEM) platforms.

📌 Performance Testing and Engineering Architect (Chennai)
🏢 Infosys
📍 Chennai