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Engineering Team Leader
StarCompliance. Lead the engineering team’s technical direction, people development, and end-to-end delivery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading software engineering teams, driving modernization and automation, and ensuring high-quality software delivery. Proficient in C#, .NET, Azure, and AI-assisted engineering practices, with a strong focus on scalability, security, and performance.
Highest-signal resume keywords
C# ProgrammingModern .NET / ASP.NET CoreMicroservices ArchitectureMicrosoft AzureAI-Assisted Engineering
ATS Keywords
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Hard Skills
Software EngineeringAPIsEvent-Driven ArchitectureAsynchronous MessagingRelational DatabasesSQL ServerInfrastructure as CodeAutomated TestingContinuous Integration / Continuous DeploymentFrontend Technologies
Soft Skills
Technical JudgementCommunicationCoachingStakeholder ManagementPeople Leadership
Tools & Technologies
CI/CD ToolsAutomated Environment ProvisioningCloud-Hosted ApplicationsAgentic Development ApproachesObservability Tools
Certifications & Qualifications
Degree in Computer ScienceDegree in Software Engineering
Industry Keywords
SaaSFinancial Services TechnologyRegulated TechnologyEngineering StandardsTechnical Debt Reduction
Tech Stack
Tools & technologiesASP.NETAzureCloudDistributed SystemsMicroservicesReactSQLTypeScript.NET
About the role
Key responsibilities & impact- Lead the engineering team’s technical direction, people development, and end-to-end delivery
- Own the full lifecycle of software and services from design and development through deployment, operation, modernisation, and continuous improvement
- Lead design decisions aligned with StarCompliance architecture and engineering standards
- Maintain technical depth to challenge designs and resolve complex problems
- Drive modernisation, simplification, technical-debt reduction, scalability, security, resilience, performance, and maintainability
- Lead adoption of AI-assisted and agentic engineering practices
- Structure work so engineers and AI agents collaborate effectively
- Establish automated validation and guardrails for AI-generated changes
- Measure AI adoption through throughput, quality, and engineering-capacity improvements
- Translate product priorities into clear engineering outcomes
- 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 and incidents to improve quality and delivery effectiveness
- Build solutions using modern Azure, cloud-native, and reusable platform capabilities
- Partner with Platform Engineering, Architecture, Quality Engineering, Security, and Product
- Resolve cross-team dependencies and systemic engineering issues
- Communicate delivery, technical risks, and trade-offs to stakeholders
- Contribute to engineering-wide standards, forums, and improvement initiatives
Requirements
What you’ll need- 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
- Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience
- Experience within regulated SaaS or financial-services technology
- Commitment to a high standard of personal integrity and ethical conduct
Benefits
Comp & perks- Regular - Full-time employment
- Hybrid work arrangement in Leeds