Responsibilities
- Lead, coach, and support a team of engineers, creating clarity around priorities, ownership, expectations, and growth goals.
- Partner with Product, Security, DevOps, and peer engineering leaders to plan and deliver roadmap commitments while balancing quality, pace, and sustainability.
- Create a healthy delivery environment by improving team processes, removing blockers, supporting planning and estimation, and reinforcing strong engineering practices.
- Maintain enough technical depth to guide design discussions, challenge risks, review trade-offs, and support the team in building secure and maintainable systems.
- Use AI tools and encourage responsible AI-assisted ways of working that improve productivity while protecting privacy, security, quality, and good judgment.
- Support hiring, feedback, performance conversations, and career development so the team continues to grow in capability and confidence.
Requirements
- 8 or more years of software engineering experience, including experience leading projects and supporting or managing engineers in an agile product environment.
- Experience managing teams that build cloud-native microservices in AWS.
- Strong people leadership skills, with experience coaching engineers, building accountability, and helping teams plan and deliver effectively.
- A solid technical background in backend engineering, including Node.js, TypeScript, AWS, APIs, and production systems supported by SQL or NoSQL data stores.
- Good understanding of CI/CD, observability, incident support, and modern engineering practices such as Docker-based workflows and infrastructure as code.
- Practical understanding of AI-enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost.
- Clear communication skills, with the ability to work effectively with engineers, product managers, and senior stakeholders.
- A quality, security, and delivery mindset, with the judgment to balance business outcomes, team health, and sustainable engineering practices.
Nice to Have
- Exposure to hiring, organizational planning, or broader cross-team delivery initiatives.
- Experience helping teams adopt AI-assisted development tools or AI-enabled product capabilities in a practical and responsible way.
Team
Structure: Engineering team reporting to the Software Engineering Manager
