Engineering Team Leader - UK
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What you'll do
- 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.
- Combine strong technical leadership with people management and delivery accountability.
- 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.
- Lead the transition towards an AI-first, agentic software development model within your team.
- Establish ways of working where engineers and AI agents collaborate effectively across the software development lifecycle.
- Embed AI-assisted and agentic development into everyday engineering workflows.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Company
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