P2 - GP - QA Lead

Posted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Artificial Intelligence • Cloud • Software
AI-powered platforms and IT services keeping healthcare and risk-critical operations accurate.
The Role
Lead the QA and quality engineering function by defining testing strategy, managing manual and exploratory testing, administering Qase, and architecting Playwright automation. Integrate testing into CI/CD, establish quality metrics, mentor and hire QA team members, reduce flaky tests, and promote AI-assisted testing with responsible-use practices. Collaborate with Product, Engineering, and DevOps on shift-left quality, release readiness, and continuous improvement.
Summary Generated by Built In

QA Tech Lead

Location: [Bangalore] | Experience: 10+ years

About Us:

Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.

For more information, please visit our website https://www.atlassystems.com/

Click here to apply for this position

https://atlas.bamboohr.com/careers/624

 
About the Role

We're looking for a strategic, hands-on QA Tech Lead to own and grow our quality engineering function. You'll combine deep testing expertise with strong leadership. You'll mentor the QA team, shape our automation and test management practices, and lead the adoption of AI tools that make quality work faster and smarter.


Key Responsibilities

Quality Leadership & Strategy

  • Define and own the overall QA strategy, test approach, and quality standards across products.
  • Work closely with Product, Engineering, and DevOps to embed quality early in the lifecycle (shift-left), including requirement reviews and acceptance criteria definition.
  • Plan QA effort, estimate testing scope, and manage risk for releases.
  • Define and track quality metrics such as defect leakage, escape rate, automation coverage, and test cycle time. Use them to drive continuous improvement.
  • Contribute to hiring and onboarding QA team members.

Manual & Exploratory Testing

  • Lead functional, regression, integration, and UAT testing efforts.
  • Champion exploratory testing through well-defined test charters and session-based testing.
  • Perform deep-dive testing on complex business workflows, edge cases, and high-risk areas.
  • Create and maintain structured test plans, test cases, and test strategies.
  • Review and approve test artifacts produced by the team.

Test Management

  • Administer and optimize Qase as the team's primary test management platform.
  • Establish standards for test case structure, tagging conventions, suite organization, and traceability to requirements.
  • Integrate Qase with issue tracking and CI/CD pipelines so test results and defects are reported automatically.
  • Build and present QA dashboards and release-readiness reports to stakeholders and leadership.

Test Automation (Playwright)

  • Architect, build, and maintain a scalable end-to-end automation framework using Playwright (TypeScript/JavaScript preferred).
  • Define an automation strategy covering UI, API, and cross-browser testing, guided by the test pyramid.
  • Integrate automated suites into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps) with reliable reporting and parallel execution.
  • Set coding standards, lead automation code reviews, and actively reduce flaky tests.
  • Set and drive automation coverage targets to steadily reduce manual regression effort.
  • Stay hands-on, contributing automation code alongside the team.

AI-Enabled Quality Engineering

  • Use Claude (Anthropic) and other AI tools in daily QA work, including:
    • generating test cases, exploratory charters, and edge case ideas,
    • producing test data,
    • summarizing defects and drafting root cause analyses,
    • assisting with automation code.
  • Develop and share prompt engineering best practices and reusable prompt libraries for QA use cases.
  • Set guidelines for responsible AI use, including validating AI-generated output, protecting sensitive data, and knowing when human judgment is essential.

Nice to Have

  • Exposure to performance testing (k6, JMeter) or security testing fundamentals.
  • Experience with visual regression, accessibility (WCAG), or mobile testing.
  • Familiarity with Docker, cloud platforms (AWS/Azure/GCP), and test environment management.

Skills Required

  • 10+ years of experience
  • Experience defining QA strategy, test approaches, and quality standards
  • Experience leading functional, regression, integration, UAT, and exploratory testing
  • Experience creating and reviewing test plans, test cases, and test strategies
  • Experience administering and optimizing Qase or a comparable test management platform
  • Experience architecting and maintaining Playwright end-to-end automation frameworks
  • Experience with TypeScript or JavaScript
  • Experience integrating automated tests with CI/CD pipelines
  • Experience with GitHub Actions, Jenkins, or Azure DevOps
  • Experience leading automation code reviews and reducing flaky tests
  • Experience using AI tools for QA and prompt engineering
  • Exposure to performance testing with k6 or JMeter
  • Security testing fundamentals
  • Experience with visual regression, accessibility, or mobile testing
  • Familiarity with Docker, AWS, Azure, or GCP
  • Experience with test environment management
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The Company
HQ: East Brunswick, New Jersey
200 Employees
Year Founded: 2003

What We Do

Atlas Systems is a technology company founded in 2003 in Princeton, New Jersey, serving Fortune 1000 and mid-sized clients across healthcare, financial services, manufacturing, and other regulated industries. We build AI-powered platforms that solve operational problems most enterprises still handle manually or through legacy systems: PRIME®: A provider data management platform used across U.S. healthcare, covering payers, providers, health systems, and provider groups. PRIME keeps provider directories accurate, automates credentialing and enrollment, and helps organizations meet compliance and directory accuracy requirements. ComplyScore®: A risk and compliance management platform covering third-party risk management, continuous compliance, and internal risk domains, including a Headless TPRM offering. Used by regulated industries including healthcare, financial services, manufacturing, and life sciences across the US, EU, APAC, and India. AInfinity®: An agentic AI automation platform that applies AI to workflows across healthcare and risk and compliance. Beyond our platforms, our IT Services division works alongside client teams and systems, providing managed IT services, infrastructure support, application development, database services, cloud migration, and IT security to organizations that need dependable, hands-on technical partners. We manage 6,000+ database instances, and our platforms are built to hold up at enterprise scale: accurate enough to pass an audit or regulatory review, and simple enough that clients get more value at a lower total cost of ownership than comparable solutions. We're small enough to know our clients by name and big enough to support Fortune 1000 operations across geographies.

Why Work With Us

We're a team-first culture where people grow fast, own real problems, and see their work reach Fortune 1000 clients from day one. We promote from within and invest in ongoing development, because our platforms are only as good as the people building them.

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