Engineering Manager

Zebra People; Greater London; Hybrid; GBP 66,000 - 110,000; Full time

Benefits offered by this job

Private healthcare

Dental insurance

Pension contribution (5% match)

Income protection

Life insurance

Cycle to work

15% bonus

Job summary

Zebra People is hiring an Engineering Manager to lead engineers building secure, scalable microservices on AWS with TypeScript and Node.js. The role blends people leadership with hands-on technical depth, guiding design discussions and fostering AI-enabled, responsible engineering practices.

You’ll collaborate with Product, Security, DevOps and other leaders to deliver roadmap commitments while maintaining high quality, performance, and team health.

Qualifications

• 8+ years of software engineering experience in an agile product environment.
• Experience leading teams that build cloud-native microservices in AWS.
• Strong people leadership skills with coaching and accountability.
• Backend focus with Node.js, TypeScript, AWS, APIs, and production data stores (SQL/NoSQL).
• Experience with CI/CD, observability, incident support, and Docker-based workflows.

Responsibilities

• Lead, coach, and support a team of engineers with clear priorities and growth goals.
• Partner with Product, Security, DevOps, and engineering leaders to plan and deliver roadmap commitments.
• Improve delivery environment by refining processes, planning, estimation, and engineering practices.
• Maintain technical depth to guide design discussions and review trade-offs for secure, maintainable systems.
• Encourage responsible AI-assisted ways of working and manage privacy, security, and quality considerations.
• Assist hiring, performance conversations, and career development to grow team capability.

Skills

People leadership

Agile & SDLC

Communication

Strategic planning

Cross-functional collaboration

Tools

AWS

Docker

APIs

TypeScript

Node.js

Job description

We’re looking for an Engineering Manager to join an AI leader in governance, risk and compliance.

The client

This is a hands‑on team management role for someone who enjoys combining people leadership, technical fluency, and modern AI‑enabled ways of working to build reliable products at scale. They ask for 50% of your time to be spent in the office though are flexible on which days.

You’ll lead engineers building secure, scalable microservices and APIs using TypeScript and AWS. You’ll partner closely with Product, Security, DevOps, and peer engineering leaders to deliver roadmap outcomes, improve team effectiveness, and create an environment where engineers can grow, own their work, and build high‑quality systems with confidence.

The role

• 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.

The candidate

• 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.
• 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.

What’s in it for me?

They’re offering a salary of up to £110K, as well as a 15% bonus. Benefits include private healthcare and dental, up to 5% matched pension, income protection, life insurance, cycle to work and several more.