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Metro role with seniority and niche platform skills yields medium applicant competition.
Requires specialist platform and performance engineering experience, making background highly domain-sensitive.
Explicit 10+ years and mandatory platform, performance, and observability tech make screening highly restrictive.
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Design and develop an AI-driven self-service performance engineering platform integrated into developer workflows and CI/CD pipelines.
Create reusable tools, SDKs, and automated workflows for performance testing covering API, UI, service, and code levels with AI-assisted automation for analysis and defect creation.
Collaborate with cross-functional teams to standardize performance testing processes, integrate observability tools, and mentor engineering teams in adopting performance practices.
10+ years of professional software engineering experience.
5+ years experience building developer platforms, frameworks, CI/CD systems, performance tooling, or cloud-native automation.
Proficiency in Python and TypeScript, with experience in tools like k6, Locust, Grasshopper, and observability platforms such as Datadog and OpenTelemetry.
Work location: Pune (Hybrid).
Experienced in designing developer-first, automated performance testing platforms with integration into modern CI/CD pipelines.
Strong background in cloud-native systems and distributed architectures with hands-on experience in Kubernetes and SaaS platforms.
Demonstrated ability in technical leadership and cross-team collaboration to embed AI-assisted performance checks into development lifecycle.