Senior DevOps Engineer

London Stock Exchange; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

London Stock Exchange Group is seeking a Senior DevOps Engineer in London, hybrid role. You will own CI/CD pipelines, automation, and cloud infrastructure, enabling rapid and reliable software delivery. The role involves mentoring, security compliance, and collaborating with development teams to integrate AI-assisted automation.

The successful candidate will have strong scripting, experience with AWS, and a track record in financial services environments, with a hands-on, proactive approach.

Qualifications

• Bachelor’s degree in Computer Science / Engineering or equivalent.
• Experience in financial services environments is preferred.
• Strong Linux/Unix background and scripting (Python, Bash).
• Hands-on experience with DevOps practices and CI/CD tooling.

Responsibilities

• Design, implement, and lead CI/CD pipelines (GitLab, Jenkins).
• Automate infrastructure provisioning and configuration (Ansible, Terraform).
• Develop and maintain containerised apps (Docker, Kubernetes, EKS, AKS).
• Monitor, optimise performance and reliability (DataDog).
• Ensure security and compliance through standard processes and audits.
• Collaborate with development teams for seamless deployments.
• Mentor team members and drive continuous improvement.
• Evaluate AI-assisted tooling to enhance DevOps workflows.

Job description

• LSEG Post Trade division – SwapClear is seeking a skilled Senior DevOps Engineer based in London, UK working in a hybrid model


• Be subject matter experts in underlying technologies


• Provide detailed technical support for developers producing bug fixes and new releases


• Be self-motivated with the ability to prioritise engineering decisions


• Contribute to modernising DevOps practices through automation and AI-assisted engineering capabilities


• Design, implement, and lead CI/CD pipelines (GitLab, Jenkins)


• Automate infrastructure provisioning and configuration management (Ansible, Terraform)


• Develop and maintain containerised applications (Docker, Kubernetes, EKS, AKS)


• Monitor and optimise performance, reliability, and scalability (DataDog)


• Collaborate with development teams for seamless integration and deployment


• Implement and manage cloud infrastructure (AWS)


• Ensure security and compliance through standard processes and audits


• Troubleshoot issues across development, testing, and production environments


• Mentor and guide team members to promote continuous improvement


• Drive POCs and onboarding of new tools, including AI-assisted development and intelligent automation


• Explore and implement AI-assisted automation to enhance DevOps workflows and developer productivity


• Support development of intelligent automation tools / agents for:
  
  
  
  • CI/CD execution
  
  
  • Code validation
  
  
  • Incident resolution
  
  
  
  


• Key Tools and Technologies:
  
  
  
  • DevOps Tools: GitLab, Jenkins, Ansible, Terraform
  
  
  • Cloud: AWS
  
  
  • Containers & Orchestration: Docker, Kubernetes, EKS, AKS
  
  
  • Monitoring: DataDog
  
  
  • Scripting: Python, Bash, Shell
  
  
  
  


• Exposure to AI-assisted development tools or automation frameworks is a plus


• Bachelor’s degree in Computer Science / Engineering (or equivalent)


• Experience in financial services / investment banking environments


• Willingness to work in a hybrid model based in London, UK


• Experience integrating automation or AI tools into CI/CD pipelines or developer workflows


• Knowledge of SQL / PL-SQL optimisation


• Knowledge of Ansible, Terraform, YAML-based pipelines


• Exposure to on-prem to cloud migration (preferred)


• Strong communication and stakeholder management skills


• Experience with CI/CD pipelines (GitLab preferred)


• Familiarity with Control-M or scheduling tools (desirable)


• Scripting knowledge (Shell / PowerShell) and Python (advantageous)


• Experience with AWS cloud infrastructure


• Strong hands-on experience in DevOps and Cloud technologies


• Experience with Agile / Scrum practices


• Exposure to AI/ML-powered tooling in software engineering or DevOps workflows