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Bengaluru metro and mid-level role increase competition, but niche performance SDET skills moderate applicant density.
Performance engineering and CI/CD skills are transferable, but observability and AI-tooling needs raise specialization.
Mandatory 3+ years plus performance, automation, and observability skills enforce rigorous technical filters.
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Develop AI-assisted, self-service performance testing tools integrated within CI/CD pipelines to improve early performance validation in software development.
Create reusable software components for API, UI, and code performance testing and integrate with observability platforms like Datadog.
Collaborate across engineering teams to standardize performance testing inputs, thresholds, reports, and automate defect creation workflows.
3+ years of professional software engineering experience.
Proficiency with programming languages such as Python, TypeScript/JavaScript, or Go.
Experience with automation, CI/CD pipelines, developer tools, and familiarity with performance testing concepts (load, spike, soak, stress, capacity, regression).
Understanding of APIs, distributed/cloud systems, service-to-service communication, and observability fundamentals (metrics, logs, traces).
Experienced in building developer-focused automation and performance testing tools integrated into CI/CD workflows.
Comfortable working with cloud-native systems and observability tooling for performance insights and reporting.
Able to collaborate cross-functionally with product engineering, SRE, platform, QA, and architecture teams to drive scalable performance engineering solutions.