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Mid-level (3+ years) role in a metro city with broad tool requirements increases applicant density.
Performance engineering skills are specialized but transferable across SaaS, cloud, and platform teams.
Explicit 3+ years plus mandatory tools (k6/Locust, Python/TypeScript, Datadog, Kubernetes) creates strict filters.
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Develop and maintain an AI-first self-service performance engineering platform integrating performance testing into CI/CD pipelines and developer workflows.
Build reusable tools, SDKs, scripts, and AI-assisted workflows for performance test creation, execution, result analysis, defect creation, and notifications.
Collaborate with engineering, SRE, QA, and architecture teams to support performance validation, observability integration, and standardization of performance testing processes.
3+ years professional software engineering experience.
Proficiency in Python and TypeScript; experience with performance testing tools like k6, Locust, or Grasshopper.
Experience with observability tools such as Datadog, OpenTelemetry, Grafana, Prometheus, or InfluxDB.
Work Location: Pune (Hybrid).
Experienced in building developer-focused automation and CI/CD integrated performance testing frameworks within cloud-native or large-scale SaaS platforms.
Possesses strong understanding of APIs, distributed systems, cloud services, and performance testing concepts (load, spike, soak, stress, capacity, regression).
Comfortable working on AI-assisted tools and contributing in cross-functional teams involving product engineering, SRE, and architecture.