At a Glance
- Tasks: Lead the design and build of cutting-edge AWS AI platform solutions.
- Company: Join a forward-thinking organisation driving AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and mentorship.
- Why this job: Shape the future of AI with your expertise in cloud technology.
- Qualifications: Extensive AWS experience and strong leadership skills required.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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
What the job involves
- Lead the design and build of LSEG’s next generation AWS AI platform, shaping the technical foundation that will power the organization’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 organization
- 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
- 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
Senior Manager of AI Platform Engineering in London employer: Deepstreamtech
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Manager of AI Platform Engineering, you will have the opportunity to lead cutting-edge projects in a supportive environment that prioritises employee growth and development. Our commitment to diversity, inclusion, and continuous learning ensures that every team member can thrive while contributing to our mission of driving AI adoption across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager of AI Platform Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or AI platforms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AWS, CI/CD, and Infrastructure-as-Code. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in cross-functional roles like this one.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us shape the future of AI at LSEG. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Manager of AI Platform Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your extensive experience with AWS and cloud solutions. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in AWS native services and Infrastructure-as-Code.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading AI platform engineering. Share specific examples of your past successes in building AWS Enterprise-Scale Landing Zones and CI/CD processes.
Show Off Your Communication Skills:Since strong communication and collaboration are key for this role, make sure to highlight any experiences where you’ve successfully worked with cross-functional teams. We love seeing how you can bring people together to achieve common goals!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the native services and the Cloud Adoption Framework. Be ready to discuss your experience with building Enterprise-Scale Landing Zones and how you've tackled challenges in previous projects.
✨Showcase Your CI/CD Skills
Prepare to talk about your CI/CD engineering background. Have specific examples ready that demonstrate your proficiency with Infrastructure-as-Code tools like Terraform and GitLab. Highlight any successful projects where you implemented these practices.
✨Communicate Clearly and Collaboratively
Since this role involves cross-functional collaboration, practice articulating your thoughts clearly. Think of examples where you successfully worked with different teams or stakeholders to achieve a common goal, showcasing your strong communication skills.
✨Demonstrate Leadership and Mentorship
Be prepared to discuss your approach to technical leadership and mentoring. Share experiences where you guided teams in delivering high-quality cloud solutions, and how you’ve influenced architectural decisions in past roles.
