AI DevOps Engineer

BlueCrest Capital Management; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

BlueCrest Capital Management is seeking an AI DevOps Engineer to drive end-to-end delivery and operations for a modern hybrid architecture across Azure and AWS. You will join a highly technical team modernising core trading platforms, embedding AI agents into pipelines, and expanding Kubernetes-based deployments across global data centers.

The role emphasizes automation, IaC with Terragrunt/Terraform/Ansible, and GitHub Actions, while maintaining reliability and security in a fast-paced trading

Qualifications

• Proficient in AIOps and DevOps with hands-on experience
• Strong experience across Azure and AWS with AI-native services
• Experience embedding LLM APIs and AI agents into pipelines
• IaC experience with Terragrunt, Terraform, and Ansible
• Excellent containerisation knowledge, especially Kubernetes
• Experience with GitHub Actions for CI/CD
• Delivery-focused mindset aligned to business needs

Responsibilities

• Own end-to-end delivery and operations of DevOps environments
• Lead technology modernization towards AI, microservices and public cloud
• Advance a hybrid multi-cloud infrastructure spanning on-prem and cloud
• Automate and standardize platforms for scalability and reliability
• Collaborate across teams to accelerate fast-paced delivery while managing risk
• Contribute to platform engineering and incident response improvements

Skills

AIOps

DevOps

Azure

AWS

Kubernetes

GitHub Actions

IaC

Terragrunt

Terraform

Ansible

OpenTelemetry

LangGraph

Dagster

AI Foundry

Bedrock

Cloud automation

Delivery focus

CI/CD

Tools

Terragrunt

Terraform

Ansible

GitHub Actions

Job description

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 AIOps and DevOps:
  • 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
• Strong expertise across Azure and AWS, with a solid understanding of AI-native services:
  • Experience with Azure AI Foundry and Amazon Bedrock
  • Cloud automation experience
• AI Automation:
  • Experience building and deploying AI agents
• Infrastructure as Code (IaC):
  • Experience with Terragrunt, Terraform, and Ansible
• Excellent understanding of containerisation technologies, ideally Kubernetes
• Experience with GitHub Actions
• Delivery‑focused mindset, with priorities aligned to business needs.

Nice to have, but willing to learn otherwise:

• 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
• 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 who is passionate about emerging technologies. You’ll need to be comfortable working in a very dynamic, fast‑paced environment. Enabling the business is our number one priority – this means 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.

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.