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About the Role
The AI DevOps Engineer is a highly technical, hands-on role responsible for the end-to-end delivery and operations of DevOps environments. This role is key to an ambitious technology modernization journey, focusing on increased adoption of AI, microservices, and public cloud within a hybrid architecture spanning on-premise and multi-cloud environments (Azure and AWS).
Responsibilities
- Deliver and operate DevOps environments.
- Contribute to the modernization of global infrastructure into a hybrid architecture.
- Automate and standardize platforms for consistency, scalability, and reliability.
- Integrate AI, microservices, and public cloud capabilities.
- Work across the delivery stack, including OS, IaC, documentation, instrumentation, and automation via Python microservices or LangChain based agents.
Requirements
- Strong object-oriented Python skills.
- Excellent understanding of containerization technologies, ideally Kubernetes.
- Strong experience with GitHub Actions.
- Good enterprise experience with Terragrunt, Terraform, and Ansible.
- Delivery-focused mindset aligned with business needs.
- Extensive experience working independently and as part of a diverse team.
- Excellent organizational skills, open communication, and a collaborative approach.
- Commitment to continuous improvement, learning, and knowledge sharing.
Skills
- Python
- Kubernetes
- GitHub Actions
- Terragrunt
- Terraform
- Ansible
- AI agents
- Azure
- AWS
- Azure AI Foundry
- Amazon Bedrock
- Cloud automation
- AgentOps/DataOps frameworks (e.g. LangGraph, Dagster)
- OpenTelemetry
- Predictive operations tools (e.g. Prophet, Dynatrace)
- AI tool integration
- LLM APIs
- DevOps infrastructure integration with MCPs
- Infrastructure testing frameworks (Terratest, Terraform Test, Molecule, JUnit, pytest)
- Kubernetes engineering and support
- Linux administration
- Windows administration
- Network automation
- Java troubleshooting
- C# troubleshooting
- CI/CD
- TeamCity
- Artifact repository management (Nexus, Artifactory)
- Observability
- Monitoring
- Tracing (Prometheus, ELK, Tempo, Jaeger)
- Platform engineering
- Data platform (Kafka, Redis)
- Chaos engineering
- Resilience testing (Gremlin, LitmusChaos)
Location
- Global
Work Type
- Hybrid
Experience Level
- Individual contributor
About the Company
- The Technology Infrastructure team operates globally, responsible for the firm's hybrid platform, including EUC/Office environments, Trading and Core service Co-Location Data Centres, and Public Cloud.
- The team continuously evolves and transforms platforms to maintain a competitive edge and deliver valuable solutions.
- The company has modernized core trading systems and introduced key technologies like AI, Kubernetes, Kafka, ELK, and Prometheus over the past four years.
Equal Opportunity
- BlueCrest is committed to providing an inclusive environment for its workforce.
- As an employer, BlueCrest provides equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.