BlueCrest Capital Management Logo

BlueCrest Capital Management

AI DevOps Engineer

Posted Yesterday
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
Build, deliver, and operate AI-focused DevOps environments across hybrid infrastructure, Azure, and AWS. Develop RAG and data pipelines, MLOps workflows, AI agents, GPU workloads, infrastructure automation, and containerized platforms. Support live, business-critical systems while improving scalability, reliability, observability, and standardization. Collaborate across teams, modernize infrastructure, and implement emerging AI and cloud technologies.
The summary above was generated by AI

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.

Role Overview: 

The AI DevOps Engineer is a very technical, hands-on role, responsible for end to end delivery and operations of our DevOps 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.

Experiences and Skills Required: 

Must have:

  • Very good understanding of AI infrastructure and DevOps
    • 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 DevOps 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 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)

About You:

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.



BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

Similar Jobs

3 Minutes Ago
In-Office
Whitefield, Bury, Greater Manchester, England, GBR
Senior level
Senior level
Internet of Things • Mobile • Retail
Designs and maintains Azure DevOps CI/CD pipelines for 5G applications across lab and production environments. Builds AI-assisted failure analysis, self-healing workflows, MCP servers, and integrations with Azure, Kubernetes, repositories, and deployments. Develops reusable YAML templates, secure automation, observability, and infrastructure-as-code solutions. Troubleshoots Kubernetes deployments, leads technical discussions and training, documents standards, and advises teams on enterprise DevOps and emerging GenAI capabilities.
Top Skills: Ado Rest ApisAksAnsibleArm TemplatesAzureAzure Ai SearchAzure CliAzure Container RegistryAzure DevopsAzure Key VaultAzure OpenaiAzure Operator Service ManagerAzure Resource ManagerBashBicepDatadogDockerGithub CopilotGrafanaHashicorp Enterprise VaultHelmJSONKubectlKubernetesKubernetes RbacLinuxLlm ApisMcpPowershellPrometheusPythonRetrieval-Augmented GenerationYaml
Yesterday
Hybrid
Mid level
Mid level
Software
Design, build, test, and maintain Java applications and microservices. Own features end to end, contribute to technical decisions, and develop secure, scalable solutions. Support CI/CD pipelines, deployment processes, cloud-native platforms, and DevOps practices while collaborating with Product and Platform teams. Participate in squad ceremonies, continuous improvement, and adoption of AI-supported development tools.
Top Skills: Ai-Assisted Development ToolsAPIsAWSCi/CdDevOpsDockerInfrastructure As CodeJavaKubernetesMicroservices
8 Days Ago
In-Office
Entry level
Entry level
Fintech
Owns deployment, operations, reliability, and productionization of a centralized enterprise AI-SDLC platform. Responsibilities include infrastructure management, CI/CD automation, monitoring, observability, incident response, security and governance controls, multi-tenant scalability, cost management, and operational support. The role uses cloud, containers, infrastructure as code, scripting, and reliability engineering practices, with preferred experience in LLMOps, MLOps, model hosting, API gateways, and AI platform management.
Top Skills: Amazon BedrockAmazon CloudwatchAmazon EcsAmazon EksAmazon S3Api GatewayAWSAws IamAws LambdaBashDockerGitlab Ci/CdHarnessJenkinsKubernetesLangchainLanggraphLlmopsMlopsOpentelemetryPci DssPythonTerraform

What you need to know about the Manchester Tech Scene

Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account