Manager, Quality Engineering - AI Automation & Data
ORBCOMM Inc. (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and develop a high-performing Quality Engineering team, including hiring, mentoring, and enforcing consistent quality engineering practices across multiple delivery teams.
- Build and govern AI-assisted automation frameworks and establish best practices for intelligent automation and AI-assisted testing workflows using Python, SQL, PyTest, and data quality tools.
- Automate end-to-end validation of data, platforms, applications, and implement automated data quality controls and release quality gates integrated with CI/CD pipelines in Azure DevOps or GitHub Actions.
Minimum Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or related field, or equivalent practical experience.
- 8+ years of experience in software quality engineering, test automation, SDET, data quality, or related technical roles.
- 3+ years of experience leading quality engineering, automation, or data quality teams with demonstrated success in hiring, coaching, and developing teams.
- Strong hands-on expertise with Python-based test automation, advanced SQL, reusable framework design, AI-assisted engineering workflows, source control, code review, and CI/CD integration tools.
Ideal Candidate Profile
- Experienced technical leader with deep expertise in automation, data validation, and modern quality engineering practices focused on scalable frameworks and data-driven product confidence.
- Familiarity with cloud data platforms, especially Microsoft Fabric and Azure Data services, and strong background in API and integration testing including contract validation and data reconciliation.
- Comfortable managing governance of AI-assisted testing and intelligent automation including traceability, human review processes, and leveraging generative AI for testing and data quality improvements.