At a Glance
- Tasks: Lead the design and build of an advanced AWS AI platform for strategic initiatives.
- Company: Join the London Stock Exchange Group, a leader in financial technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Mentor teams and collaborate with top professionals in a dynamic environment.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Extensive AWS experience and strong engineering governance skills.
The predicted salary is between 80000 - 100000 £ per year.
Lead the design and build of LSEG's next generation AWS AI platform, shaping the technical foundation that will power the organisation's most strategic AI initiatives.
This role provides technical leadership for the development and evolution of our AWS-based AI platform, ensuring it is secure, scalable, resilient, and enterprise grade. The Lead will own core architectural decisions, set engineering direction, and work closely with internal teams and external vendors to deliver a robust platform that accelerates AI adoption across the organisation. Success in this role requires deep AWS expertise, strong engineering governance capability, and the ability to guide teams in delivering high-quality cloud platform solutions.
WHAT YOU'LL BE DOING
- Design, develop, and build advanced AWS cloud platform services and capabilities.
- Lead architectural decisions across provisioning, automation, CI/CD, networking, virtualization, identity, security, business continuity, disaster recovery, governance, and cost management.
- Ensure effective implementation of AWS Enterprise-Scale Landing Zones.
- Collaborate with architects, developers, and specialists to improve cloud platform efficiency and reliability.
- Mentor and guide cloud engineering teams and communities of practice.
WHAT YOU'LL BRING
- Extensive experience designing and implementing cloud and hybrid AWS platform solutions.
- Deep expertise with AWS native services and AWS Cloud Adoption Framework.
- Proven experience building AWS Enterprise-Scale Landing Zones.
- Strong CI/CD engineering background.
- Proficiency in Infrastructure-as-Code (Terraform, GitLab).
- Strong communication and cross‑functional collaboration skills.
Senior Manager, AI Platform Engineering - London Stock Exchange Group employer: Jobs via eFinancialCareers
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and the chance to lead cutting-edge AI initiatives on our AWS platform, all within the vibrant city of London. Join us to be part of a forward-thinking team that values diversity and empowers you to make a meaningful impact in the financial sector.
Contact Details:
Jobs via eFinancialCareers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, AI Platform Engineering - London Stock Exchange Group
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AWS projects and any cool AI solutions you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for senior roles in AI platform engineering and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Manager, AI Platform Engineering - London Stock Exchange Group
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your AWS expertise and any relevant projects you've led. We want to see how your experience aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and cloud platforms, and explain why you're excited about this opportunity at LSEG. Let us know what makes you the perfect fit.
Showcase Your Technical Skills:Don’t hold back on your technical skills! Mention your experience with Infrastructure-as-Code, CI/CD, and any AWS services you've mastered. We love seeing candidates who can hit the ground running.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services and how they relate to the role, especially around Enterprise-Scale Landing Zones and Infrastructure-as-Code. Having real-world examples of how you've implemented these in past projects will really impress.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare to share experiences where you've guided teams through complex projects or architectural decisions. Highlight your mentoring style and how you've fostered collaboration among cross-functional teams.
✨Prepare for Technical Questions
Expect some deep technical questions related to cloud architecture, CI/CD processes, and security measures. Practise articulating your thought process clearly and concisely. It’s not just about getting the right answer; it’s about showing how you approach problem-solving.
✨Understand Their Business Goals
Research the London Stock Exchange Group and understand their strategic AI initiatives. Be prepared to discuss how your experience aligns with their goals and how you can contribute to accelerating AI adoption within the organisation. This shows that you're not just interested in the role, but also in the company's mission.
