Senior AI Devops Engineer

Our client, a leading international organisation operating within a highly complex technology environment, is undertaking a large-scale transformation programme focused on infrastructure modernisation, application migration and engineering efficiency.
To support this initiative, a new central DevOps capability is being established to drive the migration and standardisation of a large application estate while introducing scalable engineering practices and modern delivery approaches across multiple technology teams.
This is an opportunity to join a strategic programme with significant visibility and impact, working at the intersection of platform engineering, automation, cloud-native technologies and AI-enabled software delivery.

Project Scope
The programme includes:
• Migration of more than 90 applications across multiple technology domains
• Large-scale infrastructure and data centre transformation initiatives
• Adoption of enterprise Kubernetes platforms
• Migration to modern storage and infrastructure solutions
• Modernisation of workflow orchestration and scheduling platforms
• Standardisation of DevOps practices across engineering teams
• Introduction of AI-driven tooling to improve engineering productivity and delivery efficiency
The successful candidate will work closely with platform, infrastructure, architecture and application teams to accelerate delivery, reduce operational complexity and support the organisation's long-term technology strategy.

Key Responsibilities
• 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

Required Skills & Experience
• Strong DevOps or Platform Engineering experience gained within 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