Engineering Manager Remote - UK

Compensation Range:

Negotiable

Compensation Disclaimer: The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.

Job Summary:

Altus Group is building modern, AWS-native platforms used globally, and we’re looking for a Technical Engineering Manager who enjoys leading people, shaping technical direction, and staying close to real engineering work. This role sits at the intersection of technology, delivery and people leadership. You’ll lead a team of talented engineers, help them do their best work, and create an environment where psychological safety, continuous improvement and thoughtful adoption of AI are the norm, not just buzzwords. If you care deeply about engineering quality, healthy teams and pragmatic innovation, we’d love to hear from you.

Key Responsibilities:

Leading people and teams

Lead, grow and support inclusive engineering teams

Create a high-trust, psychologically safe environment where people feel supported and accountable

Hire and onboard new team members, help engineers grow through regular 1:1s, feedback, coaching and clear development plans; and handle performance conversations when needed, with empathy and clarity

Maintain a clear understanding of team strengths, skills and future needs

Support engineers and partners in working effectively using Agile and Lean practices

Technical leadership & delivery

Work closely with Product and Architecture to shape technical strategy and delivery plans

Guide teams building and evolving AWS-native and cloud-based platforms, alongside legacy systems

Set and uphold strong engineering standards across code quality, testing, CI/CD, observability and documentation

Stay close to technical decisions through design reviews, architecture discussions and hands-on coaching

Balance new feature delivery with technical debt, reliability, security and long-term platform health

Remove blockers and risks so teams can deliver predictably and sustainably

AI adoption & innovation

Lead the practical use of AI tools to improve developer productivity and software quality

Encourage thoughtful experimentation with LLMs and emerging AI technologies where they add real value

Identify opportunities to embed AI capabilities into products and internal platforms

Share learnings and outcomes so teams understand what’s working and why

Operational excellence

Take ownership of delivery commitments and help teams plan work realistically

Use a small, meaningful set of metrics to improve transparency and decision-making

Continuously improve develope