Software Development Engineer - Test - Automation & AI

PRACTO CAREERS :Senior Software Development Engineer in Test (SDET)- Automation & AI

Type : Full-time

ABOUT PRACTO :

Practo is on a mission to make quality healthcare affordable and accessible for over a billion Indians. We are India's leading integrated healthcare company, connecting millions of patients with the largest network of doctors, clinics, hospitals, pharmacies, and diagnostic centers. Handling millions of searches, teleconsultations, and medicine deliveries daily requires a robust, zero-failure digital infrastructure. At Practo, Quality Engineering isn't just about finding bugs - it's about ensuring seamless, life-critical user experiences across our consumer apps, doctor platforms, and enterprise healthcare systems.

ABOUT THE ROLE :

We are looking for a Senior SDET who can own automation across our web, API, and mobile (Android/iOS) ecosystems, and who is excited about pioneering AI within our testing workflows.

You won't just run tests; you will help us transition into the future of QA - from AI-assisted test generation and self-healing locators to LLM-powered triage of production telemetry and errors.

You will work closely with development, product, and operations teams to build resilient, blazing-fast, and maintainable automation that keeps Practo's release cycles short without compromising on healthcare-grade quality.

This is a hands-on engineering role with deep influence over test strategy, framework architecture, and how our global team adopts AI tooling responsibly.

WHAT YOU'LL DO :

• Architect Multi-Layer Frameworks: Design, build, and maintain high-performance automation frameworks across web (responsive/desktop), mobile (Android & iOS), and backend API layers.

• Own Quality End-to-End: Take complete ownership of test coverage for your product area - from initial test design and PR reviews to CI/CD integration and final release sign-off.

• Advance Framework Design: Implement and scale clean design patterns: Page Object Model (POM), screen/fragment scoping for mobile, contract-driven API testing (Swagger/OpenAPI), and ultra-robust locator strategies.

• Drive AI Innovation: Integrate AI/LLMs into the testing lifecycle (e.g., AI-assisted test case generation, self-healing locators, intelligent failure triage, and automated flakiness detection).

• Supercharge CI/CD: Build and maintain CI/CD pipelines for automated regression and smoke suites; keep execution fast, parallelized, and highly reliable.

• Bridge Dev and Ops: Triage production errors and telemetry signals (e.g., Sentry, New Relic), correlate them with test gaps, and systematically drive coverage improvements.