Manager, Software Engineer in Test
Coupa Software
- Pune, Maharashtra
- Permanent
- Full-time
- Be a hands-on technical manager with good experience in Automation and Open Source Tools..
- Work with stakeholders and provide QE strategy and direction to complex strategic projects.
- Lead from the front during problem-solving sessions by understanding and empowering the team, articulating clearly the context and business rationale.
- Lead and mentor a team of 5-7 engineers and conduct one-on-one growth conversations, providing feedback.
- Communicate effectively at different levels and influence stakeholders on thorough automation coverage at the Unit /API/integration level.
- Participate in sprint planning meetings and daily stand-ups and work with teams to mitigate any blockers and adapt to changing needs in a fast-moving environment to meet commitments and ensure quality delivery.
- Be innovative, Conduct code reviews to manage automation code quality, and guide teams for improvements and adherence to best practices.
- Work closely with product and development teams for scoping/sizing, requirements analysis, and creating test strategy.
- Analyze customer issues, and retrospective feedback, and bring measurable/actionable tasks into
- BS/B Tech degree in Computer Science or related field.
- 4-6 years of core development or SDET experience with a minimum of 3+ years in team management/leadership handling testing and delivery of enterprise applications.
- Experience in UI/API test frameworks using open source automation tools.
- Working experience in Web Services and APIs and automation using Open Source tools.
- Experience in CI/CD tools such as TeamCity, Jenkins, Circle CI, Maven, etc.
- Expertise in team management, conflict management, smart goal setting, scoping, and estimations.
- Understanding of QA methodologies, life cycle and processes, and project management techniques.
- Ability to manage priorities, set appropriate expectations with peer engineering management and deliver features on time with high quality.
- Familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains.
- Working Knowledge in machine learning trade-offs, and model evaluation.
- Experience handling testing of large Data products & Data Analysis Tools.