- People Management : Lead, coach, and develop a high-performing team of 10+ software engineers to deliver scalable, reliable, and high-quality software solutions.

- Foster a culture of ownership, collaboration, and continuous learning through effective goal setting, feedback, and career development initiatives.

- Influence and Collaboration : Partner with cross-functional teams, including Product Management, UX, CS, ML/AI, SaaS and Operations to define project scope, requirements, and success criteria.

- Build strong stakeholder relationships and communicate effectively to align business objectives with technical deliverables.

- Program Management Oversee the end-to-end software development lifecycle (SDLC)from planning and design to development, testing, and deployment.

- Manage program risks, dependencies, and priorities to ensure on-time, high-quality delivery.

- Establish clear visibility into project progress through data-driven reporting and proactive communication.

- Technical Leadership : Provide strategic technical direction and hands-on mentorship to guide architectural decisions, design reviews, and implementation quality. Champion best practices in software design, coding standards, and system architecture to drive technical excellence and maintainability.

- Operational Excellence : Build and maintain operationally mature systems with a focus on automation, self-healing mechanisms, and proactive monitoring. Implement metrics, dashboards, and alarms to ensure system reliability, scalability, and performance.

- Drive continuous improvements in processes, tools, and operational efficiency.

- Innovation and Continuous Learning : Stay current with emerging technologies, industry trends, and engineering best practices to drive innovation and long-term product vision. Encourage experimentation, learning, and adoption of modern tools and frameworks across the team.

Requirements :

- Proven experience designing, building, deploying, and supporting large-scale, data-intensive systems on cloud platforms (e. g., AWS, Azure, or GCP).

- Strong proficiency in one or more modern programming languages such as Node.js or Python.

- Deep understanding of software engineering principles, architecture patterns, and design best practices.

- Methodologies : Hands-on experience with Agile/Scrum development methodologies and driving engineering excellence through iterative delivery.

- Leadership : Demonstrated ability to lead and mentor high-performing engineering teams, manage priorities, and deliver complex technical programs.

- Analytical and Problem-Solving : Excellent analytical, troubleshooting, and decision-making skills, with a data-driven approach to problem-solving.

- Communication and Collaboration : Strong interpersonal and communication skills, with the ability to influence across technical and non-technical stakeholders.