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Tier-1 brand plus mid-level experience increases competition, though performance-engineering niche slightly narrows candidate pool.
Core performance engineering skills transfer well, but financial services experience is preferred for smoother hiring fit.
Mandatory 3+ years plus specific performance tools, observability, and CI/CD integration requirements enforce strict shortlisting.
Design, execute, and analyze various performance tests (load, stress, endurance, capacity) for complex enterprise applications to ensure scalability and reliability.
Develop automation frameworks for performance testing and monitoring, leveraging AI-assisted tools to enhance efficiency and quality.
Collaborate with cross-functional teams to define performance objectives, integrate testing into CI/CD pipelines, and provide actionable insights through reporting and observability dashboards.
3+ years of hands-on experience in performance engineering, system scalability testing, and operational stability.
Proficiency with performance testing tools such as JMeter, LoadRunner, BlazeMeter, Gatling, or equivalents.
Experience with observability and monitoring platforms like Dynatrace, Splunk, Grafana, or equivalents.
Work Experience Required: 3+ years; Formal training or certification in software engineering, performance engineering, or related fields.
Experienced in integrating performance testing and monitoring within DevOps CI/CD pipelines using Jenkins or similar platforms.
Strong understanding of application architectures including distributed systems, API, database tuning, and cloud-native environments.
Familiarity with enterprise-scale operations, AI-assisted engineering tools, and performance observability practices in financial services or large-scale enterprise settings.