QA Lead – Functional QA & Release Quality Management

 Posted a month ago
  
 India
  
5-10 years experience
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AI Summary

Own the QA execution and release quality for ongoing releases, providing data-driven status and readiness recommendations. Lead the design of complex test strategies and mentor QA team members while collaborating with Engineering and Product teams.

At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences.

At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences. We are a global leader in providing high-assurance identity verification, transaction signing, authentication, mobile security, simplified e-signature workflows, and secure video collaboration for virtual transactions. Our solutions enable trust that ensures the integrity of the people and artifacts associated with digital agreements and transactions across banking, financial services, healthcare, and professional services. 

Role Overview

Lead-level role owning QA execution and release quality for ongoing releases, providing data-driven quality status, metrics, and release readiness recommendations.

Key Responsibilities:

  • Own QA execution and quality for ongoing releases
  • Design complex test strategies and failure scenarios
  • Analyze complex issues across Linux, AWS, and container platforms
  • Drive sanity, regression, and end-to-end testing across teams
  • Lead database testing for consistency and edge cases
  • Define and report QA metrics for release readiness
  • Guide and mentor QA team members
  • Collaborate with Engineering, Product, and Release teams
  • Communicate release readiness, risks, and go/no-go recommendations

Required Qualifications:

  • 6–8 years of Functional QA experience
  • Proven QA Lead or release ownership experience
  • Strong understanding of QA metrics and reporting
  • Hands-on experience across web, mobile, API, DB, AWS, Docker, and Kubernetes
  • Strong stakeholder communication and leadership skills
  • Experience using AI-based productivity tools

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