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Qa Engineer

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Onsite

Qa Engineer

Saisystems Health

Qa Engineer

Skills

TypescriptPythonTesting & QASeleniumPlaywrightCypressAIJavascript

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹600,000 – ₹1,300,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

17 September 2026

What they need


Senior QA Engineer
Team: Healthcare EHR product engineering • Work model: WFO ( 5 days )• Level: Senior individual contributor • Focus: test automation and AI-augmented quality
Role summary
A senior QA engineer who builds automated test suites, embeds quality in an AI-augmented (AI-PDLC) delivery model, and drives the move from manual to automated testing for a healthcare EHR platform.
Key responsibilities

  • Build and maintain automated test suites (for example Playwright) integrated into CI/CD.
  • Convert manual regression into reliable automated coverage on the critical paths.
  • Embed in a squad: help write and refine acceptance criteria during the working session, and start testing as soon as the first build is ready.
  • Use AI to generate tests, then validate that output rigorously catching false positives and coverage gaps.
  • Test AI-backed product features: design evaluation checks for non-deterministic behavior, including scenarios exercised from outside the code under test.
  • Manage test data, including compliant synthetic data for a regulated (HIPAA) domain.

Required skills and experience

  • 5+ years in software QA / test automation, with hands-on framework build and maintenance (not only test execution).
  • Proficiency with a modern automation framework (Playwright or equivalent, such as Selenium or Cypress) integrated into CI/CD.
  • Programming for test automation in JavaScript/TypeScript or Python.
  • Strong test strategy and risk-based design, with fluency across API, UI, and integration testing.
  • Hands-on AI-assisted or prompt-driven test generation, plus the discipline to validate what the AI produces.
  • Experience testing AI, machine-learning, or LLM-backed features handling non-determinism and designing evaluation/oracle checks such as golden sets and groundedness.
  • A track record of converting manual regression into reliable automated coverage (shift-left), working embedded in a cross-functional team.

Preferred qualifications (nice to have)

  • ISTQB Foundation (CTFL) or AI Testing (CT-AI) certification.
  • Healthcare or other regulated-domain testing, and synthetic test data (for example Synthea/FHIR).
  • Performance testing, contract testing, or self-healing test tooling.

What a strong candidate looks like
Has personally built automation up from a low baseline, can show AI-assisted tests they wrote and then validated, and has tested at least one AI or machine-learning feature with an evaluation harness rather than manual spot-checks.
Location and work model
Hybrid, working within the product engineering team on its collaboration hours. This role is early in an automation-first transition, so you will be building coverage from a modest baseline a chance to set the standard rather than inherit it.
Compensation
Competitive compensation for a senior QA engineer, benchmarked to the local market. Specific range shared early in the process and in line with applicable pay-transparency requirements.
Equal opportunity and accommodation
We are an equal-opportunity employer and evaluate candidates on their ability to perform the essential functions of the role. We provide reasonable accommodation for applicants and employees with disabilities please let us know if you need one during the process.
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