Lead DevOps Engineer
London Stock Exchange Group3 months ago
London, United KingdomStaff+
Responsibilities
- 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.
- Partner with software engineering and data science teams to productionize AI solutions and operate services reliably at scale.
- Establish reusable standards and patterns for infrastructure, security, observability, resilience, documentation, and operational readiness.
- Lead architectural decisions and evaluate reliability, security, scalability, performance, cost, and maintainability trade-offs.
- Own operational risks and incidents, identify root causes, and implement 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.
Requirements
- Significant hands-on experience in DevOps, platform engineering, cloud infrastructure engineering, software engineering, or a related discipline.
- Strong expertise designing and operating production systems in Azure, AWS, or both.
- 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.
- Experience with containerized workloads and orchestration technologies such as Docker and Kubernetes.
- 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.
- Ability to work autonomously, make evidence-based architectural decisions, and take accountability for technical outcomes.
- Experience providing technical or functional leadership without formal management authority.
- Clear communication skills and experience working across engineering, data science, security, architecture, and product teams.
- Preferred experience with AI or machine learning platforms, model-serving infrastructure, MLOps, or data-intensive services.
- Preferred knowledge of advanced networking, API management, distributed systems, service mesh, or zero-trust architecture.
- Preferred experience with GitOps, policy as code, internal developer platforms, developer self-service, or FinOps.
Benefits
- High-impact work on AI products and large-scale data services.
- Meaningful technical ownership over cloud architecture, engineering standards, platform priorities, and ways of working.
- Collaboration with software engineers, data scientists, security specialists, product partners, and technical leaders.
- Support for continuous learning, technical specialization, and broader architectural responsibility.
- Healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Equal opportunity employment with reasonable adjustments and accommodations throughout the recruitment process.
About London Stock Exchange Group
London Stock Exchange Group (LSEG) provides market infrastructure, financial data, and analytics to banks, asset managers, and corporations. Its businesses span capital markets (London Stock Exchange), post-trade clearing (LCH), and information services including FTSE Russell indices and the Refinitiv data platform, funded by transaction fees, subscriptions, and licensing. Headquartered in London and publicly listed on the LSE, the group serves global customers seeking trading, clearing, benchmarks, and enterprise data solutions.