Manager, Software Quality Assurance
Wolters Kluwer India Private LimitedThis job is no longer accepting applications
Job Description
We are seeking an experienced Manager II (M2) Software Automation Engineer to lead the design, implementation, and adoption of next-generation Quality Engineering solutions powered by Agentic AI, intelligent automation, and modern software testing practices. This role combines deep technical expertise with leadership responsibilities to modernize testing strategies, drive AI-assisted automation, and mentor engineering teams in building scalable, resilient, and intelligent quality solutions.
The ideal candidate has extensive experience in automation frameworks, cloud-native applications, AI/LLM technologies, and software engineering while leading cross-functional teams in delivering high-quality enterprise software.
Key Responsibilities
Technical Leadership
- Lead the architecture, design, and implementation of enterprise automation frameworks using modern technologies.
- Drive adoption of Agentic AI solutions for autonomous test generation, maintenance, defect triage, root cause analysis, and release validation.
- Establish engineering standards, best practices, and governance for automation and AI-assisted testing.
- Design scalable CI/CD quality gates supporting continuous delivery.
- Develop and implement comprehensive test strategies.
- Lead framework modernization initiatives from legacy automation to AI-powered solutions.
- Oversee the execution of automated and manual testing and generate traceable reporting.
- Prepare and present quality reports to senior management
- Collaborate with cross-functional teams to improve product quality.
- Define and monitor quality metrics and key performance indicators.
- Conduct performance reviews and provide career development opportunities.
Agentic AI & Intelligent Automation
- Design and implement AI agents for:
- Automated test case generation
- Self-healing test automation
- Intelligent regression selection
- Failure analysis
- Root cause identification
- Requirement-to-test traceability
- Defect summarization
- Test data generation
- Risk-based testing
- Integrate Large Language Models (LLMs) into automation workflows.
- Evaluate and implement Agentic AI platforms, MCP (Model Context Protocol), prompt engineering, and Retrieval-Augmented Generation (RAG).
- Optimize token usage, AI performance, governance, and cost management.
Automation Engineering
- Develop scalable automation solutions for:
- UI
- API
- Integration
- Performance
- Database
- End-to-End testing
- Build automation using:
- Playwright/Selenium
- Java/C#
- REST Assured
- API
- Postman
Software Engineering
- Apply SOLID principles and clean architecture.
- Build cloud-native automation services and APIs.
- Develop reusable testing utilities and AI integrations.
Cloud & DevOps
- Integrate automation into CI/CD pipelines.
- Deploy automation services on:
- Azure
- AWS
- Monitor quality metrics using Grafana, ADO
Required Qualifications
Education
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- Master's degree preferred.
Experience
- 8-12+ years of software engineering or Quality Engineering experience.
- 5+ years designing enterprise automation frameworks.
- 3+ years leading engineering teams or technical initiatives.
- Experience implementing AI-assisted software development or testing solutions.
- Experience working within Agile/Scrum environments.
Our Interview Practices
More Info
Key Skills
Playwright
AI LLM technologies
CI CD
Agentic AI
Cloud-native applications
About Company
Wolters Kluwer N.V. (Euronext Amsterdam: WKL ) is a Dutch information services company.The company is headquartered in Alphen aan den Rijn, Netherlands (Global) and Philadelphia, United States (corporate).Wolters Kluwer in its current form was founded in 1987 with a merger between Kluwer Publishers and Wolters Samsom.The company serves legal, business, tax, accounting, finance, audit, risk, compliance, and healthcare markets.It operates in over 150 countries.
