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Tier-1 brand and likely metro hiring increase competition, but niche senior performance specialization moderates density.
Specialized performance engineering, observability, and financial-services context make cross-industry fit difficult.
Explicit 12-15 years plus deep performance tooling, observability, and cloud skills create strict filters.
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Lead performance engineering efforts including defining Non-Functional Requirements, designing test plans, and developing CI/CD pipelines for performance testing.
Analyze performance data from infrastructure, applications, and observability tools like Dynatrace to identify bottlenecks and recommend optimizations.
Architect and enhance observability frameworks; handle root cause analysis and resolution of production performance issues across multiple product teams.
12-15 years of experience in Performance Engineering Domain.
Extensive experience with Performance Testing Tools (LoadRunner, JMeter, Neo Load or equivalent), Dynatrace, and Azure Cloud platform.
Strong coding and scripting skills in C#, Java, SQL, Oracle, Python, PowerShell, and Bash.
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field; MS degree preferred.
Experienced senior engineer with comprehensive expertise in performance testing, root cause analysis, and observability tool implementation.
Proficient in designing and managing end-to-end performance benchmarking and automation pipelines in an Agile development environment.
Comfortable working across cloud and on-prem infrastructure with skills in DevOps tools like Jenkins, Ansible, Terraform, Docker, and Kubernetes.