Backend Team Lead

About The Position

Driivz, a Vontier company, powers the e-mobility revolution with a market-leading, end-to-end EV charging and energy management platform for global charge point operators and electric mobility service providers.

We offer a scalable, integrated SaaS solution that ensures a seamless charging experience and drives high driver retention for leading EV charging networks such as EVgo, Shell, Circle K, Mer, and Volvo Group.

Driivz facilitates the global transition to a forward-looking EV charging ecosystem by powering networks in more than 35 countries across the U.S., Europe, and Asia, with its platform supporting over 3 million charging ports and more than 6 million EV drivers worldwide.

Join our team and work alongside brilliant, disruptive minds focused on leading the e-mobility industry and building a greener world.

What You'll Do

• Lead a Back-End Engineering Team through the execution of the product roadmap and program delivery.
• Build best-in-class developer experiences that accelerate product adoption and satisfaction.
• Conduct architectural, design, and hands-on code reviews that raise the bar for platform quality.
• Design and build agentic infrastructure (throttling, guard rails, model routing, RAG pipelines, tool calling, context augmentation).
• Demonstrate operational excellence by running high-scale, mission-critical platform services.
• Amplify your team's potential through coaching, mentoring, and performance management.
• Remain hands-on – approximately 30% of your time will be dedicated to active development.
  
  

• Strong coding skills with the ability to thrive in a dynamic, agile, and entrepreneurial environment.
• At least 2 years of people management experience.
• 5+ years of experience designing and building REST-based APIs.
• Hands-on experience with Java/Kotlin and Spring Boot (experience with Python/Go can also be relevant).
• Proven experience with Microservices architecture.
• Solid knowledge of web application frameworks and hands-on experience with cloud services (AWS/GCP).
• Demonstrated ability to solve complex engineering challenges and push the technical boundaries of online applications.
• Strong interpersonal skills – a natural collaborator and people person.
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) and comfort integrating them into day-to-day engineering workflows.
• B.Sc. in Computer Science, Engineering, or equivalent from a recognized university.
  
  

• An AI-first mindset – proactively leveraging AI tooling to improve developer productivity, code quality, and delivery speed.