AI DevOps engineer in trading

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.

• responsible for end to end delivery and operations of our DevOps environments
• automating and standardising to ensure consistency, scalability and reliability across all environments
• working on any part of the delivery stack, from routine o/s IaC, to documentation, instrumentation all the way to automating work through Python microservices or LangChain based agents
• suggest and implement new solutions to enhance our technology performance
• meeting both broad and specific project/BAU objectives
• learning from others and sharing knowledge to enhance our team's capability and function

• Strong object oriented Python skills (not just scripting)
• Excellent understanding of containerisation technologies, ideally Kubernetes
• Strong experience with GitHub Actions
• Good, enterprise experience with Terragrunt, Terraform, and Ansible
• Delivery-focused mindset, with priorities aligned to business needs.
• We’re looking for a very strong individual contributor who is passionate about emerging technologies.
• You’ll need to be comfortable working in a very dynamic, fast-paced environment.
• 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.
• Будет плюсом: Experience building and deploying AI agents; Expertise across Azure and AWS, with a solid understanding of AI-native services: Experience with Azure AI Foundry and Amazon Bedrock; Cloud automation experience; AgentOps/DataOps frameworks (e.g. LangGraph, Dagster) and OpenTelemetry; Predictive operations tools (e.g. Prophet, Dynatrace); AI tool integration, including embedding LLM APIs and agents into pipelines; Experience integrating DevOps infrastructure with MCPs; 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 GitHub Actions and/or TeamCity; Artifact repository management (Nexus, Artifactory); Observability, monitoring and tracing (OpenTelemetry, Prometheus, ELK, Tempo, Jaeger); Platform engineering on Azure and/or AWS; Data platform experience (Kafka, Redis); Chaos engineering and resilience testing (Gremlin, LitmusChaos)

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