Lead DevOps Engineer
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Aug 13, 2026. London Stock Exchange scores A on the Alion truth index.
Join our team as a Lead DevOps Engineer and help shape the technical foundation behind our next generation of AI products. You will own the technical direction of our cloud infrastructure, delivery platforms, and operational capabilities. This is an individual contributor role with no direct reports, where you will provide functional leadership, guide engineers at different career stages, influence decisions across teams, and raise engineering standards.
Missions
- Assumer la direction technique de l'infrastructure cloud, des plateformes de livraison et des capacités opérationnelles.
- Architecturer, construire et exploiter des plateformes sécurisées, observables, résilientes et évolutives sur Azure, AWS ou les deux.
- Concevoir et améliorer les pipelines CI/CD, l'infrastructure en tant que code, les tests automatisés, les contrôles de version et les stratégies de déploiement.
Profil recherché
- Experience with Terraform, Bicep, CloudFormation, 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 DevOps, 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 DevOps 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, PowerShell, 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 GitOps, policy as code, internal developer platforms, developer self-service, or FinOps