Padmi

Sr. Engineering Manager / Sr. Development Manager - QA

Bangalore · Hyderabad · HybridPosted 1 month ago
Engineering ManagementSeniorFull Time, Permanent
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10+ years of hands-on testing and software quality assurance experience in fast-paced, iterative environments, including multi-tenant SaaS products. Proven experience coaching or consulting with engineering teams on testing best practices influence-without-authority is the primary skill, not direct execution or ownership of testing. Expert background in test automation with a demonstrated record of tactical execution and strategic leadership in test automation and quality engineering programs. Coding proficiency in at least one modern language C#, Java, TypeScript, Python. Experience with CI/CD principles, tools, and infrastructure; solid understanding of version control and source control management tools - GitHub, Azure DevOps. Hands-on experience with cloud computing platforms like AWS, Azure, GitHub, containers - Docker / Kubernetes, and multi-tiered infrastructure. Experience working in Agile/Scrum development environments and with Agile metrics Experience evaluating, piloting, or implementing AI-powered testing tools or agentic solutions for test automation, test data generation, or quality intelligence. Deep Quality & Test Architecture Expertise — Mastery of test pyramid design, contract/consumer-driven testing, API/service-level testing, and test sustainability; proven ability to diagnose and fix test anti-patterns. Coaching & Enablement Mindset — Strong desire to teach and build capability in others rather than own execution; experienced at influencing engineering teams without formal authority; comfort with ambiguity and iterative problem-solving. Program Management & Portfolio Thinking — Able to aggregate data across many teams, prioritize scarce resources against risk, and drive alignment with senior stakeholders; experienced at turning technical findings into business-relevant language. Leadership & Communication — Excellent written and oral communication; strong presence with senior engineering leadership and product teams; demonstrates psychological safety, openness to feedback, and a learning mindset. Technical Fluency with AI/Agentic Solutions — Foundational understanding of AI concepts, prompt engineering, and ability to evaluate AI-powered testing tools; comfort learning and experimenting with emerging technologies.

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