Software Development Snr Manager

About the role

Responsibilities

• Partner with organizational leaders to shape Agentic AI product direction .
• Lead, mentor, and grow a team of 10 software engineers in the OCI India Development Center.
• Drive the design, development, and delivery of scalable, reliable software services and frameworks.
• Establish engineering best practices and promote a culture of quality, accountability, and operational excellence.
• Collaborate cross-functionally with product managers, architects, cloud operations, and security teams to define and execute technical strategy.
• Balance speed, quality, and innovation through iterative, incremental delivery practices.
• Provide technical leadership and strategic guidance on architecture, scalability, performance, and reliability.
• Manage project priorities, resource planning, execution timelines, and stakeholder communication.
• Build an inclusive, high-performing engineering culture focused on continuous learning and career growth.
• Drive operational excellence by proactively identifying risks, improving processes, and ensuring system reliability at scale.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field, and 8+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python; or equivalent practical experience.
• 4+ years of engineering management experience.
• Experience designing or integrating AI/ML-powered features into production systems.
• Proven ability to define and execute technical strategy for a team, aligning engineering efforts with product goals and organizational priorities.
• Experience leading teams through complex technical and organizational challenges, including cross-team collaboration and dependency management.
• Strong technical foundation, with the ability to guide architectural decisions, evaluate system tradeoffs, and maintain high standards of software quality.
• Proven track record of building and scaling engineering organizations in high-growth or ambiguous environments.