At a Glance
- Tasks: Lead an engineering team to deliver innovative software solutions and embrace AI technologies.
- Company: Join a forward-thinking SaaS company focused on AI-driven development.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and continuous improvement.
- Why this job: Be at the forefront of AI integration in software engineering and make a real impact.
- Qualifications: Strong software engineering background with leadership experience and knowledge of modern tech stacks.
The predicted salary is between 72000 - 88000 £ per year.
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:
- Embed AI-assisted and agentic development into everyday engineering workflows.
- Enable appropriate engineering tasks to be safely delegated to AI agents.
- Ensure AI-generated changes are tested, validated, secure, and auditable.
- Use AI to improve delivery speed, quality, automation, and engineering capacity.
- 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
- 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
- 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.
- 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.
- 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
- 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.
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.
Engineering Team Leader - UK in London employer: StarCompliance, Inc.
As an AWS Cloud Infrastructure Engineer at our company, you will be part of a dynamic team dedicated to innovation in the financial services sector. We pride ourselves on fostering a collaborative work culture that values integrity and ethical practices, while providing ample opportunities for professional growth and development. With a focus on cutting-edge technology and a commitment to operational excellence, our employees enjoy a supportive environment that encourages creativity and the use of AI tools to enhance productivity.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Team Leader - UK in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at StarCompliance, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to StarCompliance, Inc..
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Engineering Team Leader - UK in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at StarCompliance, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at StarCompliance, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at StarCompliance, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If StarCompliance, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
