Director of Engineering

Teleport is looking for a Director of Engineering to define the technology roadmap and drive on-time delivery in collaboration with the product team. This role requires strong leadership to motivate and scale the engineering team while ensuring alignment with short- and long-term technology goals. The ideal candidate should also have experience in cloud infrastructure, DevOps practices, QA automation, release management, and leveraging AI for engineering productivity.

Responsibilities:

• Define and execute the technology roadmap in alignment with business objectives.
• Work closely with product teams to ensure on-time delivery and improve engineering efficiency.
• Lead and mentor a team of 35-50 engineers, fostering a culture of ownership, accountability, and innovation.
• Define and track OKRs for the engineering team to drive measurable impact.
• Collaborate with architects to design and implement next-generation scalable and cloud-native architecture.
• Implement DevOps best practices, ensuring high availability, scalability, and efficient CI/CD pipelines.
• Ensure adherence to observability best practices and monitor system performance effectively.
• Set up and lead a QA automation team, ensuring end-to-end test automation and release stability.
• Define and enforce release best practices to ensure smooth and risk-free deployments.
• Leverage AI-driven tools and automation to enhance developer productivity and optimize workflows.
• Stay hands-on with critical system components, providing technical leadership when needed.

• 12+ years of experience in backend development, cloud-native architecture, and large-scale distributed systems.
• Strong expertise in Java, Spring Boot, Kafka, MongoDB, Cassandra.
• Exposure to Python (good to have).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-native services.
• Strong understanding of DevOps, CI/CD, Infrastructure as Code (IaC) practices.
• Proven ability to set up and scale a QA automation team with modern testing frameworks.
• Experience in release management, ensuring smooth and risk-free software rollouts.
• Ability to identify AI-driven automation opportunities to enhance engineering productivity.
• Proven experience in leading mid-to-large engineering teams (35-50 members).
• Strong strategic mindset to plan and execute both short-term and long-term technology goals.

Preferred Qualification:

• Experience in the logistics or e-commerce domain is a plus.
• Strong problem-solving mindset with a data-driven decision-making approach.
• Excellent communication and stakeholder management skills.

If you're passionate about building scalable systems, defining OKRs, driving AI-powered engineering productivity, and leading high-performing teams, we’d love to hear from you!