Senior Engineering Manager - .NET, AWS, AI in Nottingham

Senior Engineering Manager - .NET, AWS, AI in Nottingham

Nottingham Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Experian Health

At a Glance

  • Tasks: Lead and mentor teams in developing innovative .NET and cloud solutions using AI.
  • Company: Join Experian, a global leader in data and technology with a collaborative culture.
  • Benefits: Enjoy hybrid working, competitive pay, healthcare, and generous leave policies.
  • Other info: Be part of a diverse team committed to continuous improvement and innovation.
  • Why this job: Make a real impact by driving AI adoption and engineering excellence in a dynamic environment.
  • Qualifications: Extensive experience in software engineering, AWS, and team leadership required.

The predicted salary is between 80000 - 100000 £ per year.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data.

We are looking for an experienced Senior Engineering Manager to join Experian's Global Cloud Foundation Platform Engineering team, developing unified platform solutions and new product prototypes. This is a great opportunity for an experienced people leader with strong technical expertise to work with the teams to deliver .NET and cloud based solutions using AI tools.

Responsibilities

  • Hands‑on technologist with strong AWS and Generative AI expertise (e.g., Cursor, GitHub Copilot, Codex), championing an AI‑first approach to enhance productivity and accelerate the SDLC.
  • Accountable for UK&I product and software delivery, using metrics and KPIs to track performance, manage delivery health, and ensure cross‑business alignment.
  • Building, scaling, and mentoring high‑performing product engineering teams aligned to business strategy.
  • Embed and drive the adoption of AI tools in the team.
  • Drive Engineering Excellence by fostering a culture of continuous improvement, innovation, and accountability, while coaching teams to deliver high‑quality outcomes.
  • Identify complex technical and delivery challenges, define scalable solutions and solution designs, and work hands‑on with engineers to deep‑dive into code and technical components.
  • Act as senior escalation point for client delivery issues, removing blockers and embedding best practices in TDD, CI/CD, and automated testing.
  • Optimize cost and efficiency by reducing TCO through simplification, automation, and continuous service improvement, while proactively managing security, risk, and vulnerabilities.
  • Contribute to revenue growth and future strategy by delivering cost‑effective, high‑quality solutions, enabling rapid experimentation, and shaping the UK&I technology roadmap.

Qualifications

  • Extensive software engineering experience and solution design in the .NET tech stack.
  • Hands‑on proficiency in AWS cloud, full stack, testing, Docker, Kubernetes, CI/CD, DevOps & security best practices.
  • Confidence using AI tools and experience driving adoption of AI tools in teams (e.g., Cursor, GitHub Copilot, Codex).
  • Strong delivery experience, working with cross‑functional and global engineering teams.
  • Proven team leadership and mentoring skills, leading high‑performing teams.
  • Experience with Agile methodologies, particularly Scrum (SAFe or LeSS).

Benefits

  • Hybrid working – 40% office based.
  • Great compensation package and discretionary bonus.
  • Core benefits include Pension, Bupa healthcare, Sharesave Scheme and more.
  • 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

Equal Employment Opportunity Statement

Experian is proud to be an Equal Opportunity and affirmative action employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Senior Engineering Manager - .NET, AWS, AI in Nottingham employer: Experian Health

Experian is an exceptional employer that champions innovation and employee growth within a dynamic hybrid work environment. With a strong focus on technology and data, employees benefit from a competitive compensation package, comprehensive health benefits, and opportunities for professional development, all while contributing to meaningful projects that impact various industries globally. The company's commitment to diversity and inclusion ensures that every team member can thrive and bring their authentic selves to work.

Experian Health

Contact Details:

Experian Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineering Manager - .NET, AWS, AI in Nottingham

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work at Experian or similar companies. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving .NET, AWS, and AI. This gives potential employers a taste of what you can bring to the table.

Tip Number 3

Ace the interview! Research common interview questions for Senior Engineering Managers and practice your responses. Be ready to discuss your experience with AI tools and how you've led teams to success.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Experian team.

We think you need these skills to ace Senior Engineering Manager - .NET, AWS, AI in Nottingham

.NET
AWS
Generative AI
AI Tools Adoption
Software Engineering
Solution Design
Full Stack Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Engineering Manager role. Highlight your expertise in .NET, AWS, and AI tools, as well as any leadership experience you have. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background aligns with our mission at Experian. Be sure to mention specific projects or achievements that showcase your technical prowess and leadership skills.

Showcase Your Technical Skills:In your application, don’t shy away from detailing your hands-on experience with AWS, .NET, and AI tools. We love seeing concrete examples of how you've used these technologies to solve problems or improve processes. This is your moment to impress us with your tech-savvy!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!

How to prepare for a job interview at Experian Health

Know Your Tech Stack

Make sure you brush up on your .NET and AWS knowledge. Be ready to discuss specific projects where you've used these technologies, especially in relation to AI tools like GitHub Copilot or Codex. This shows you're not just familiar with the tech but have hands-on experience.

Showcase Your Leadership Skills

As a Senior Engineering Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've built high-performing teams and fostered a culture of continuous improvement. Highlight any specific metrics or KPIs you've used to track team performance.

Emphasise Problem-Solving Abilities

Be ready to discuss complex technical challenges you've faced and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your hands-on involvement in finding scalable solutions.

Understand the Company’s Vision

Research Experian's role in the data and technology landscape. Be prepared to discuss how your experience aligns with their mission to redefine lending practices and enhance productivity through AI. Showing that you understand their goals will set you apart from other candidates.