Engineering Team Leader UK

Responsibilities

• Engineering Leadership & People Development
• Own the technical direction of systems and services within the team's domain.
• Lead design decisions and ensure alignment with StarCompliance architecture and engineering standards.
• Maintain sufficient technical depth to challenge designs and resolve complex problems.
• Drive modernisation, simplification, and reduction of technical debt.
• Ensure scalability, security, resilience, performance, and maintainability are built in.
• Technical Leadership
• Lead design decisions and ensure alignment with StarCompliance architecture standards.
• Maintain sufficient technical depth to challenge designs and support complex problems.
• AI-First & Agentic Engineering
• Lead adoption of AI-assisted and agentic engineering practices.
• Structure work so engineers and agents can deliver effectively together.
• Increase the proportion of development activity that can be safely automated.
• Establish automated validation and guardrails for AI-generated changes.
• Measure AI adoption through improvements in throughput, quality, and engineering capacity.
• Delivery, Quality & Operations
• Own end-to-end delivery and ongoing health of the team's products and services.
• Translate product priorities into clear and achievable engineering outcomes.
• Balance feature delivery with quality, resilience, security, and technical sustainability.
• Ensure software is tested, deployable, observable, supportable, and production-ready.
• Drive automation across testing, CI/CD, deployment, and operational processes.
• Use engineering and production data to improve quality and delivery effectiveness.
• Quality, CI/CD & Operational Excellence
• Ensure engineers own the quality of the software they create.
• Embed appropriate automated testing and quality controls throughout the SDLC.
• Drive high levels of CI/CD automation and low-risk, repeatable deployments.
• Ensure services provide effective telemetry, logging, monitoring, and alerting.
• Use production data and incidents to drive continuous engineering improvement.
• Platform & Collaboration
• Build solutions using modern Azure, cloud-native, and reusable platform capabilities.
• Partner with Platform Engineering, Architecture, Quality Engineering, Security, and Product.
• Work across team boundaries to resolve dependencies and systemic engineering issues.
• Communicate delivery, technical risks, and trade-offs clearly to stakeholders.
• Contribute to engineering-wide standards, forums, and improvement initiatives.

Skills and Experience

Minimum Qualifications

• Minimum Qualifications
• Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience.
• Experience within regulated SaaS or financial-services technology.
• Integrity and Ethics
• All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.
• Significant software engineering experience, including technical and people leadership.
• Strong experience with C# and modern.NET / ASP.NET Core.
• Strong understanding of APIs, software architecture, and modern integration patterns.
• Strong experience with microservices, containers, and distributed systems.
• Experience with infrastructure as code and automated environment provisioning.
• Experience with event-driven architecture and asynchronous messaging.
• Experience building and operating enterprise SaaS or cloud-hosted applications.
• Experience with modern frontend technologies such as React and TypeScript.
• Strong knowledge of relational databases, particularly SQL Server.
• Practical experience with Microsoft Azure, CI/CD, automated testing, and modern engineering practices.
• Understanding of observability, resilience, performance, and secure software development.
• Practical experience using AI-assisted engineering tools and agentic development approaches.
• Experience supporting or leading AI-first or agentic engineering transformation.
• Proven ability to lead engineers, manage delivery, allocate resources, and influence across teams.
• Strong technical judgement, communication, coaching, and stakeholder-management skills.