VP Engineering Manager

1 week ago

Baner, India Talent Socio Full time

Role Overview The VP of Engineering will lead the strategic and operational direction of the engineering organization. This role requires a blend of deep technical expertise, strong leadership, and an agile mindset. You ll oversee multiple engineering teams responsible for delivering high-quality SaaS products that scale globally, while fostering a strong culture of performance, innovation, and accountability. Principal Accountabilities Define and own end-to-end SDLC for all applications under Engineering org from definition phase to go-live and production phases. Efficiently manage teams time and take accountability of delivery commitments and manage risks Work as a member of an Agile Software Development Team to help implement new functionality based on business requirements. Ensure strong focus on quality, security and scalability. Review code, ensure code is thoroughly tested, ensure best coding practices are followed. Lead performance engineering and capacity planning exercises Help Project Management in identifying key technical risks and mitigation plan for the same Help Project Management in effort estimation and planning Create clear career paths for team members to help them grow with regular and deep mentoring, attract and retain top talent keeping long term goals in mind. Requirements 15+ years of software engineering experience with 5+ years in a senior leadership role in a SaaS environment. Proven track record of building and scaling distributed systems and high-availability SaaS products. Strong experience in cloud platforms (AWS, Azure, or GCP), microservices, and API-first architectures. Hands-on background in software development (preferably in Java, Node.js, Python, or similar modern stacks). Strong understanding of agile practices, CI/CD pipelines, and DevOps culture. Excellent leadership, communication, and stakeholder management skills. Bachelor s or Master s degree in Computer Science, Engineering, or related field from a Tier 1 Engineering Institute (e.g., IITs, NITs, BITS, or equivalent). Nice to Have Experience with analytics, AI/ML, or data engineering in a SaaS context. Knowledge of regulatory frameworks (SOC 2, GDPR, HIPAA) and secure software development practices. Global team management experience across time zones and cultures.

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