NoTraffic, the world’s first autonomous traffic management platform, is revolutionizing urban mobility by transforming traditional intersections into intelligent, connected systems. Leveraging advanced AI and edge computing technologies, our platform optimizes traffic flow, reduces congestion, and enhances road safety. Deployed across hundreds of agencies in the U.S. and Canada, NoTraffic has significantly improved travel times and lowered vehicle emissions. Recognized as a leader in smart mobility innovation, we are shaping a more efficient, sustainable, and safer transportation ecosystem.

As the Backend Team Lead, you will be a crucial part of our R&D group, leading the team responsible for creating cutting-edge tools and infrastructure that empower NoTraffic developers to deliver high-quality products at maximum velocity. This is an exciting opportunity to take ownership of impactful projects, drive innovation, and mentor a talented team.

Your day to day will include:

• Lead a team of software engineers to build our backend systems that accelerate NoTraffic’s software development process and enhance quality.
• Apply best engineering principles, ensuring the highest standards of design and delivery.
• Create and execute detailed work plans while maintaining effective delivery.
• Hire, coach, mentor, and support the professional growth of your team members.
• Collaborate closely with product management, team leaders, architects, and internal stakeholders to ensure project success.
• Promote curiosity and continuous learning, staying updated on and evaluating new technologies.

You’d be a good fit if you have:

• 3+ years of managerial experience, including hands-on development.
• 5+ years of backend development experience, preferably in Python
• Deep understanding of the software development lifecycle and best practices.
• Expertise in CI/CD concepts and their implementations.
• Experience in developing and maintaining large-scale production systems with public cloud providers such as AWS.
• Strong understanding of Kubernetes principles with hands-on experience.
• B.Sc. in Computer Science or equivalent.