Senior AI Devops Engineer

Our client is a leading international organisation operating within a highly complex technology environment, undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration, and engineering efficiency. A new central DevOps capability is being established to drive migration and standardisation of a large application estate while introducing scalable engineering practices and modern delivery approaches across multiple technology teams.

• Strong DevOps or Platform Engineering experience in large-scale enterprise environments
• Solid exposure to Java-based application ecosystems
• Experience deploying and managing applications on Linux environments (Red Hat preferred)
• Hands-on experience with Kubernetes in enterprise settings
• Strong CI/CD experience, ideally with Azure DevOps
• Experience supporting multiple applications or working across various engineering teams
• Experience with workflow orchestration tools such as Control-M and/or Airflow
• Experience using AI to automate DevOps processes, workflows or engineering activities

Nice to have:

• Experience with object storage technologies and infrastructure transformation programmes
• Background within financial services, banking or capital markets
• Exposure to trading, pricing or risk management systems
• Experience working with platforms such as Murex
• Experience leveraging AI tools to support migration initiatives, including Control-M to Airflow transitions

• Support large-scale application and infrastructure migration initiatives
• Design, implement and optimise CI/CD pipelines and deployment processes
• Enable adoption of Kubernetes-based deployment models
• Drive automation and standardisation across engineering teams
• Improve software delivery processes and operational efficiency
• Leverage AI tools to automate DevOps workflows and engineering tasks
• Support workflow orchestration modernisation projects
• Collaborate with stakeholders across multiple technology teams