About the Team
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.
Responsibilities
•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
Requirements
•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
•Very strong individual contributor who is passionate about emerging technologies
•Comfortable working in a very dynamic, fast-paced environment
•Passionate about AI and other emerging technology trends, innovations and directions, and eager to suggest and implement new solutions to enhance technology performance
•Understanding of the need for rapid delivery while appreciating business risk and constraints to ensure adherence to service levels
•Extensive experience working both independently and as part of a diverse team, meeting both broad and specific project/BAU objectives
•Excellent organisational skills, open communication, and a collaborative approach
•Commitment to continuous improvement, both in learning from others and sharing knowledge to enhance the team's capability and function
Nice to Have
•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)
Conditions
Not specified in the posting.
