Performance Testing and Engineering Architect

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.
• Strong 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.