
Engineering Leadership Position
3 days ago
Job Overview:
You will be working as a seasoned software development leader who has led high-performing engineering teams.
Responsibilities
- Ensure timely and quality delivery of product features by implementing agile methodologies and using the Scrum framework.
- Collaborate with cross-functional teams to ensure timely delivery, platform uptime, and technical debt management.
- Support product management in defining product strategy and achieving product vision.
- Participate in backlog refinement and assist product management in user story prioritization.
- Contribute to sprint planning along with the product team and technical leads to define sprint scope, goal, and deliverables.
- Develop and improve SDLC processes in coordination with product and QA teams.
- Ensure all user stories are estimated, software designs created, and sprint dependencies met before sprint begins for smooth execution.
- Assign tasks to team members and monitor sprint progress to ensure timely delivery.
- Ensure team conducts unit testing and peer code reviews.
- Send regular updates on sprint progress.
- Identify bottlenecks to sprint schedule and address them promptly.
- Support production support team in addressing production issues and meeting SLAs.
- Collaborate with technical architect in developing and deploying platform architecture aligned with product vision.
- Deploy and institutionalize AI-assisted coding tools and guidelines.
- Build and develop a high-performing team by hiring, onboarding, coaching, and upskilling.
- Define goals and objectives and conduct performance reviews for the team.
- Provide weekly reports for executive stakeholders.
Qualifications:
- Bachelor's or Master's degree in computer science or a related field.
- 10+ years of professional experience, including 5+ years in software product/platform development.
- Proficiency in at least one of Go, Python, or Java with prior experience.
- Demonstrated experience in executing or implementing AI solutions within live projects is mandatory.
- Prior experience in using AI tools for coding, code refactoring, unit testing, automated testing, and documentation is preferred.
- Demonstrated ability to architect scalable, secure, customer-focused solutions.
- Experience with performance optimization and security frameworks.
- Excellent grasp of software engineering processes, DevOps, and experience with agile and Scrum practices.
- Familiarity with tools like Git, Maven, Jenkins, etc.
- Effective communication, organizational, and conflict resolution skills.
- Positive, solution-oriented attitude with strong people management skills.
- Experience in product-based companies with a strong understanding of the product lifecycle and strategy is mandatory.
- Proven delivery capabilities in high-volume SaaS platforms.
- A background in startups or high-growth scaling environments is essential, along with adaptability in dynamic settings.
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