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Mid-level metro role with common 3+ years and moderate brand, leading to medium competition.
Skills are transferable across cloud-native software companies but specialized performance tooling creates moderate domain sensitivity.
Explicit 3+ years plus mandatory languages, performance tools, observability, and Kubernetes increases filter strictness.
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Develop and enhance an AI-first self-service performance engineering platform focusing on automation, frameworks, and CI/CD integration.
Create reusable tools, SDKs, and AI-assisted workflows to support API, UI, service, and code performance testing across the software development lifecycle.
Collaborate with cross-functional teams (product engineering, SRE, QA, architecture) to standardize performance validation, observability integration, and reporting.
3+ years of professional software engineering experience.
Proficiency in Python and TypeScript; experience with tools like k6, Locust, Grasshopper is mandatory.
Experience with performance testing concepts and observability tools such as Datadog, OpenTelemetry, Grafana, Prometheus, or InfluxDB.
Work Location: Pune (Hybrid); must comply with U.S. export control regulations.
Experienced in automation, CI/CD, cloud-native systems, Kubernetes, and large-scale SaaS platforms, with a strong understanding of APIs and distributed systems.
Skilled at building maintainable and reusable software focused on developer workflows and performance testing integration.
Comfortable working in multidisciplinary teams to deliver AI-assisted tools that simplify and improve performance testing and monitoring processes.