Summary:

We are seeking an experienced Manual QA Lead with an AI mindset to drive quality excellence across complex enterprise and eCommerce applications. This role requires a strong foundation in manual testing, leadership capabilities, and the ability to leverage AI/GenAI tools to enhance testing efficiency, coverage, and insights.
The ideal candidate will lead QA initiatives, mentor teams, and champion intelligent, data-driven quality practices that integrate traditional QA with AI-enabled approaches.

Responsibilities:

• Lead end-to-end test strategy, planning, and execution for releases (break-fix, monthly, and large-scale deployments)
• Manage and mentor a team of QA engineers, ensuring clear ownership and accountability
• Drive risk-based testing approaches and proactively identify quality risks
• Collaborate with cross-functional teams (Dev, Product, DevOps, Business)
• Define and execute functional, regression, integration, and UAT testing
• Ensure high-quality test case design, traceability, and coverage
• Validate complex workflows across integrated systems (e.g., Salesforce, SAP, APIs, middleware)
• Drive defect lifecycle management and root cause analysis
• Leverage AI tools (e.g., Copilot, GenAI, ML models) for:
• Test case generation and optimization
•   Defect prediction and intelligent triaging
•   Test data generation
•   Risk identification and anomaly detection
• Identify opportunities to reduce manual effort using AI-assisted testing approaches
• Partner with engineering to introduce AI in test automation acceleration strategy
• Align QA activities with release management, CAB/eCAB processes, and code freeze policies
• Ensure test readiness across environments (QA, staging, production validation)
• Support production deployments, smoke testing, and hypercare validation
• Define and publish quality dashboards and KPIs:
•        Defect leakage
•        Test coverage
•        Release quality index
•        Cycle time reduction
• Provide leadership-ready insights and risk-based reporting
• Drive retrospectives and implement lessons learned
• Introduce process improvements using AI insights and analytics
• Promote a culture of ownership, accountability, and innovation

Qualification:

• Bachelor’s degree in Computer Science, Engineering, or equivalent
• 8+ years of QA experience, with 2–4 years in leadership role
• Strong expertise in manual testing for enterprise applications
• Experience in eCommerce domain or large-scale integrated systems
• Strong stakeholder communication (business + leadership)
• Proven ability to drive ownership and accountability in teams
• Excellent risk identification and escalation mindset
• Coaching and mentoring QA engineers and leads
• Ability to operate in high-pressure release environments
• Hands-on experience with:
•         Test management tools (Azure DevOps, Jira, etc.)
•         API testing (Postman/REST tools)
•        SQL/database validation
• Nice to have:
• Exposure to AI/ML concepts in QA or software engineering
• Experience using tools like GitHub Copilot / ChatGPT / AI-based QA tools
• Ability to translate business problems into AI-driven QA solutions

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.