Senior AI Devops Engineer

Our client is a leading international organisation undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration, and engineering efficiency. The programme includes migration of over 90 applications, infrastructure and data centre transformation, adoption of enterprise Kubernetes platforms, and introduction of AI-driven tooling to improve engineering productivity.

• 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