Overview
Software Development Engineer in Test focused on performance engineering frameworks and automation for an AI-first self-service platform.
What you'll do
- Build features for an agentic, AI-first self-service performance platform.
- Develop reusable tools, templates, scripts, SDKs, and workflows for API/UI/service/code performance testing.
- Integrate performance checks into CI/CD pipelines and developer workflows.
- Build AI-assisted workflows for performance test creation, execution, result analysis, defect creation, and notifications.
- Support performance validation for critical user journeys, releases, and scale events.
- Standardize performance test inputs, outputs, thresholds, evidence, and reporting.
- Integrate with observability tools such as Datadog.
What you'll need
- 3+ years of professional software engineering experience.
- Programming experience in Python, TypeScript, Go, or similar languages.
- Understanding of APIs, distributed systems, and service-to-service communication.
- Experience with automation and CI/CD or developer workflows.
- Familiarity with performance testing concepts like load, spike, soak, stress, capacity, or regression.
- Familiarity with observability using metrics, logs, traces, dashboards, or alerts.
- Must have experience with tools such as k6, Locust, and Grasshopper.
- Experience with Python and TypeScript.
- Experience with Datadog and OpenTelemetry, Grafana, Prometheus, or InfluxDB.
- Experience with Kubernetes, cloud-native systems, or large-scale SaaS platforms.
Nice to have
- Experience with Playwright.
- Experience with SLOs, SLIs, Apdex, error budgets, or burn-rate alerting.
- Experience building AI agents, MCPs, AI-assisted developer tools, or agentic automation workflows.
- Experience with Jira automation, defect routing, or engineering dashboards.
Details
- Work location: Pune (Hybrid).
Read the full description and apply on the company’s own careers page.
