At a Glance
- Tasks: Lead the technical direction of cloud infrastructure and operational capabilities for AI products.
- Company: Join LSEG, a global leader in financial markets with a culture of innovation and diversity.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Be part of a team that values individuality and encourages new ideas.
- Why this job: Shape the future of AI technology while working in a collaborative and creative environment.
- Qualifications: Experience in DevOps, cloud engineering, and strong skills in Azure or AWS.
The predicted salary is between 63000 - 77000 £ per year.
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.
We are building scalable AI products and platforms that require reliable cloud infrastructure, efficient delivery pipelines, and strong operational engineering. Join us and help shape the technical foundation behind our next generation of AI products!
As a Lead DevOps Engineer, you will own the technical direction of our cloud infrastructure, delivery platforms, and operational capabilities. You will remain hands-on across the engineering lifecycle, from architecture and infrastructure design through deployment, observability, incident response, and continuous improvement.
- Establish reusable engineering approaches that improve reliability, security, performance, and developer productivity.
- Own the technical direction and roadmap for cloud infrastructure, DevOps, deployment, and operational capabilities.
- Architect, build, and operate secure, observable, resilient, and scalable platforms across Azure, AWS, or both.
- Design and improve CI/CD pipelines, infrastructure as code, automated testing, release controls, environment management, and deployment strategies.
- Work with software engineering and data science teams to productionize AI solutions and ensure services are ready to operate reliably at scale.
- Lead architectural decisions and evaluate trade-offs across reliability, security, scalability, performance, cost, and maintainability.
- Take ownership of operational risks and incidents, identify root causes, and turn lessons into measurable engineering improvements.
- Use approved generative AI tools for infrastructure development, automation, testing, pipeline improvement, documentation, incident analysis, and troubleshooting.
- Provide technical guidance through design reviews, code reviews, pairing, coaching, and hands-on problem-solving.
WHAT YOU'LL BRING:
- Significant hands-on experience in DevOps, platform engineering, cloud infrastructure engineering, software engineering, or a related discipline.
- Strong expertise in Azure, AWS, or both, including designing and operating production systems in complex cloud environments.
- Advanced experience with CI/CD, infrastructure as code, release automation, automated testing, deployment controls, and environment management.
- Experience with Terraform, Bicep, CloudFormation, Ansible, or comparable infrastructure and configuration automation technologies.
- Strong software engineering and automation skills using Python, Bash, PowerShell, Go, or a similar language.
- Knowledge of observability, incident management, cloud security, identity and access management, secrets management, network security, vulnerability management, and software supply-chain risk.
- Demonstrable experience using generative AI tools in DevOps or engineering workflows, including validating outputs and protecting sensitive information.
- Clear communication skills and experience working across engineering, data science, security, architecture, and product teams.
Bonus points:
- Experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.
- Knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust architecture.
- Experience with GitOps, policy as code, internal developer platforms, developer self-service, or FinOps.
We build AI products and large-scale data services that address valuable and technically complex problems. We will give you meaningful scope to shape cloud architecture, engineering standards, platform priorities, and ways of working.
We provide reasonable adjustments and accommodations throughout the recruitment process and employment. Please tell us what would help you participate fully.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Lead DevOps Engineer Wfh in London employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead DevOps Engineer Wfh in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Lead DevOps Engineer Wfh in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at London Stock Exchange Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at London Stock Exchange Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at London Stock Exchange Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If London Stock Exchange Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
