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