At a Glance
- Tasks: Lead a team to develop innovative .NET and cloud solutions using AI tools.
- Company: Join Experian's Global Cloud Foundation Platform Engineering team.
- Benefits: Competitive salary, career growth, and a culture of innovation.
- Other info: Dynamic environment focused on continuous improvement and high-quality outcomes.
- Why this job: Make an impact by driving AI adoption and enhancing productivity.
- Qualifications: Extensive experience in software engineering, AWS, and team leadership.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- Extensive software engineering experience and solution design in .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)
What the job involves
- 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.
- 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.
- Optimise 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.
Senior Engineering Manager (.NET, AWS, AI) in Nottingham employer: Experian Group
Experian is an exceptional employer, offering a dynamic work environment where innovation thrives. With a strong focus on employee growth and development, the AI & Automation Centre of Expertise provides opportunities to engage with cutting-edge technologies while enjoying a hybrid working model. The company fosters a collaborative culture that values diverse perspectives, ensuring that every team member can contribute meaningfully to impactful projects.
We think you need these skills to ace Senior Engineering Manager (.NET, AWS, AI) in Nottingham
.NET
AWS
AI Tools (e.g., Cursor, GitHub Copilot, Codex)
Docker
Kubernetes
CI/CD
DevOps
