Lead and manage engineering teams in designing and delivering scalable, secure, and high-quality cloud applications using AWS and Python. Drive technical excellence, ensure high-quality software delivery, and promote AI-assisted engineering practices to enhance developer productivity, code quality, and overall delivery
Job Description
- Lead and mentor engineering teams, providing technical guidance and ensuring high-quality software delivery.
- Design and develop scalable backend applications using Python and AWS services.
- Drive AI-assisted engineering adoption to improve coding efficiency, testing, debugging, and code quality.
- Oversee application architecture, code reviews, security, performance, and engineering best practices.
- Manage CI/CD pipelines, automated testing, deployments, and production support.
- Collaborate with cross-functional teams to deliver solutions aligned with business requirements.
- Identify technical risks and drive continuous improvement in engineering processes.
- Experience with Go (Golang) is an added advantage.
Duties and Responsibilities
- Review solution designs and provide technical recommendations to ensure scalable, maintainable, and robust implementations.
- Assign technical responsibilities, monitor team performance, and guide engineers in resolving complex technical challenges
- Oversee delivery milestones, resource utilization, and technical dependencies to ensure predictable and timely delivery.
- Facilitate discussions with business and technical stakeholders to align priorities, manage expectations, and resolve escalations.
- Ensure adherence to security requirements, coding standards, and organizational engineering best practices.
- Evaluate emerging technologies and drive improvements in development processes, engineering practices, and team productivity.
- Identify and monitor delivery risks, drive mitigation measures, and ensure production readiness and operational stability.
Any Additional Information/Specifics
- Demonstrates innovation in identifying, proposing, and implementing new ideas and process improvements.
- Highly motivated, self-driven, and proactive in identifying and resolving issues within the team with minimal supervision.
- Ability to quickly learn, adapt to, and effectively implement new tools, technologies, and processes.