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Senior Engineering Manager - .NET, AWS, AI
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ICT
💰 Salary Not shared
📊 Market 7,500 GBP–10,000 GBP/mo (90,000 GBP–120,000 GBP/yr)
About the Company
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Responsibilities
- ● Act as a hands-on technologist with strong AWS and Generative AI expertise, championing an AI-first approach to enhance productivity and accelerate the SDLC.
- ● Be accountable for UK&I product and software delivery, using metrics and KPIs to track performance, manage delivery health, and ensure cross-business alignment.
- ● Build, scale, and mentor 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.
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, and 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.
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