AI DevOps Engineer

Department Overview:

Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation.

In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements.

The AI Dev Ops Engineer is a very technical, hands-on role, responsible for end to end delivery and operations of our Dev Ops environments. They will be joining the team as we lead an ambitious technology modernisation journey, moving to greater adoption of AI, microservices and public cloud. We're continuing to evolve our global infrastructure - spanning multiple global data centres - into a modern hybrid architecture that leverages both existing on-prem and multi-cloud environments and capabilities across Azure and AWS.

Over the past four years, we've modernised our core trading systems and introduced a range of key technologies including AI, Kubernetes, Kafka, ELK, Prometheus, and more. As we expand and enhance the platforms, our focus is on automating and standardising to ensure consistency, scalability and reliability across all environments.

• Very good understanding of AI infrastructure and Dev Ops
• Experience with RAG pipelines, MLOps frameworks (Kubeflow, MLflow, Argo, Airflow), data pipelines and versioning
• Predictive operations tools (prophet, Dynatrace etc)
• AI tools integration, for example embedding LLMs APIs or agents in pipelines
• Very strong, AI-focused, Azure and AWS expertise
• Experience orchestrating GPU workloads
• Experience with Azure Foundry and Bedrock
• AI Automation:
  • Experience building or using agents
  • Experience integrating Dev Ops infrastructure with MCPs
  • Terragrunt and Terraform
  • Python
  • Very good understanding of containerisation technologies
• Nice to have, but willing to learn otherwise:
  • Experience with infrastructure testing frameworks (Terratest, Terraform Test, Molecule, JUnit, pytest)
  • Kubernetes engineering and support across on-prem, VMware, AKS and EKS environments
  • Linux and Windows administration and network automation
  • Java and/or C# troubleshooting capability
  • CI/CD experience with Git Hub Actions and/or Team City
  • Artifact repository management (Nexus, Artifactory)
  • Observability, monitoring and tracing (Open Telemetry, Prometheus, ELK, Tempo, Jaeger)
  • Platform engineering on Azure and/or AWS
  • Data platform experience (Kafka, Redis)
  • Chaos engineering and resilience testing (Gremlin, Litmus Chaos)

We're looking for a very strong individual contributor, passionate about emerging technologies, and constantly improving their environment. The environment is fast moving with minimal process, so you'll need to be comfortable supporting live systems, critical to the hedge funds operations, with minimal guardrails.

You should be passionate about AI and other emerging technology trends, innovations and directions, and eager to suggest and implement new solutions to enhance our technology performance. You should also understand the need for rapid delivery while appreciating business risk and constraints to ensure adherence to service levels.

The candidate should have extensive experience working both independently and as part of a diverse team, meeting both broad and specific project/BAU objectives. This role requires excellent organisational skills, open communication, and a collaborative approach.

Your commitment to continuous improvement should be evident, both in learning from others and sharing knowledge to enhance our team's capability and function.