Senior Manager Quality Engineering

3 days ago

Noida, India Iris Software Inc. Full time

Key Responsibilities:

  • Define and drive QE strategy aligned with BMO’s Enterprise Risk platform architecture, engineering standards, and transformation roadmap
  • Lead end-to-end QE delivery across manual, automation, and data validation workstreams – including UI, API, ETL, and batch validation
  • Establish and scale automation frameworks for:
  • UI (Selenium, Cypress, Playwright)
  • API (Rest Assured, Postman, Karate)
  • ETL and backend jobs (Python, SQL-based validation frameworks)
  • Led a team of 20–30 members while fostering a culture centered on quality, reusability, and an automation-first mindset
  • Collaborate with development, DevOp, Product teams to implement shift-left testing , test data management , and test coverage alignment
  • Integrate QE into CI/CD pipelines using Jenkins/GitLab and enforce test gating, code quality checks, and coverage thresholds
  • Implement non-functional testing strategies (performance, security, resiliency) using tools like JMeter, OWASP ZAP, and integrate into test automation cycles
  • Evaluate and embed GenAI-driven QE capabilities , including test case generation, self-healing scripts, synthetic test data generation, test and coverage gap analysis etc.
  • Support proposal, RFP, and stakeholder presentations by articulating QE capability maturity, roadmap, and measurable outcomes (KPIs, ROI, coverage)
  • Lead a team of SDETs, QE engineers, and manual testers; foster a culture of quality, reusability, and automation-first
  • Drive continuous improvement initiatives via test metrics, RCA, defect leakage trends, and QE process optimization

Required Skills and Experience:

  • Expertise in architecting scalable and modular test automation frameworks across UI, API, and ETL layers
  • Hands-on with tools: Selenium, Rest Assured, Playwright, Postman, JMeter, Python, SQL, Git, Jenkins, Docker, etc.
  • Strong understanding of DevOps , CI/CD integration, test orchestration, and environment provisioning
  • Experience working in BFSI/Wealth/Capital Markets domain; prior exposure to Enterprise Risk platforms, data governance , or regulatory workflows is a strong plus
  • Exposure to AI/ML/GenAI tools in testing & QE
  • Proven ability to mentor and scale QE teams , establish best practices, and manage client expectations
  • Strong interpersonal skills for stakeholder engagement across BAs, Product Owners, Architects, and Delivery Leads
  • Experience in test data virtualization , synthetic data generation, or data masking
  • Familiarity with compliance testing , audit traceability , and reporting standards in banking environments
  • Understanding of microservices , event-driven systems, and integration patterns

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