Lead DevOps Engineer Job London area,Greater London England UK,IT/Tech

Location: Greater London

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 Dev Ops 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
We expect you to operate with a high degree of autonomy, make strategic and architectural decisions within your area, and resolve complex technical challenges. You will establish reusable engineering approaches that improve reliability, security, performance, and developer productivity
This is an individual contributor role with no direct reports. You will provide functional leadership, guide engineers at different career stages, influence decisions across teams, and raise engineering standards
Own the technical direction and roadmap for cloud infrastructure, Dev Ops, 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 product ionize AI solutions and ensure services are ready to operate reliably at scale
Establish engineering standards and reusable patterns for infrastructure, security, observability, resilience, documentation, and operational readiness
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
Career Stage:
Manager

Experience with Terraform, Bicep, Cloud Formation, Ansible, or comparable infrastructure and configuration automation technologies
Advanced experience with CI/CD, infrastructure as code, release automation, automated testing, deployment controls, and environment management
Significant hands-on experience in Dev Ops, platform engineering, cloud infrastructure engineering, software engineering, or a related discipline
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
The ability to work autonomously, make evidence-based architectural decisions, and take accountability for technical outcomes
Demonstrable experience using generative AI tools in Dev Ops or engineering workflows, including validating outputs and protecting sensitive information
Experience with containerized workloads and orchestration technologies such as Docker and Kubernetes
Strong expertise in Azure, AWS, or both, including designing and operating production systems in complex cloud environments
Knowledge of observability, incident management, cloud security, identity and access management, secrets management, network security, vulnerability management, and software supply-chain risk
Strong software engineering and automation skills using Python, Bash, Power Shell, Go, or a similar language
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 Git Ops, policy as code, internal developer platforms, developer self-service, or Fin Ops

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