Engineering Team Leader UK
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Key details
- Location
- Leeds, United Kingdom
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Function
- other
- Focus area
- other
- Posted
- 5d ago
Skills
About the role
Role
Reporting to the Director of Engineering, the Engineering Team Lead is accountable for the leadership, technical direction, and end-to-end delivery of an engineering team responsible for key components of the StarCompliance Enterprise SaaS platform.
This role combines strong technical leadership with people management and delivery accountability. Success is achieved through the capability and output of the team, while maintaining sufficient technical depth to guide design, challenge decisions, and support complex engineering work.
You will own the full lifecycle of the software and services within your team's domain, from design and development through deployment, operation, modernisation, and continuous improvement.
StarCompliance is moving towards an AI-first, agentic software development model. You will lead this transition within your team, establishing ways of working where engineers and AI agents collaborate effectively across the software development lifecycle.
How We Think About AI
AI is a foundational part of modern software engineering at StarCompliance.
We expect Engineering Team Leads to:
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Embed AI-assisted and agentic development into everyday engineering workflows.
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Enable appropriate engineering tasks to be safely delegated to AI agents.
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Ensure AI-generated changes are tested, validated, secure, and auditable.
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Use AI to improve delivery speed, quality, automation, and engineering capacity.
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Continuously adopt new AI capabilities where they provide measurable value.
AI-generated output remains engineering output, and teams remain accountable for everything they deliver.
Responsibilities
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Own the technical direction of systems and services within the team's domain.
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Lead design decisions and ensure alignment with StarCompliance architecture and engineering standards.
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Maintain sufficient technical depth to challenge designs and resolve complex problems.
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Drive modernisation, simplification, and reduction of technical debt.
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Ensure scalability, security, resilience, performance, and maintainability are built in.
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Own the technical direction of systems and services within the team's domain.
-
Lead design decisions and ensure alignment with StarCompliance architecture standards.
-
Maintain sufficient technical depth to challenge designs and support complex problems.
-
Drive modernisation, simplification, and reduction of technical debt.
-
Ensure scalability, security, resilience, performance, and maintainability are built in.
-
Lead adoption of AI-assisted and agentic engineering practices.
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Structure work so engineers and agents can deliver effectively together.
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Increase the proportion of development activity that can be safely automated.
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Establish automated validation and guardrails for AI-generated changes.
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Measure AI adoption through improvements in throughput, quality, and engineering capacity.
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Own end-to-end delivery and ongoing health of the team's products and services.
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Translate product priorities into clear and achievable engineering outcomes.
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Balance feature delivery with quality, resilience, security, and technical sustainability.
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Ensure software is tested, deployable, observable, supportable, and production-ready.
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Drive automation across testing, CI/CD, deployment, and operational processes.
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Use engineering and production data to improve quality and delivery effectiveness.
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Ensure engineers own the quality of the software they create.
Engineering Leadership & People Development
Technical Leadership
AI-First & Agentic Engineering
Delivery, Quality & Operations
Quality, CI/CD & Operational Excellence
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