Senior Linux Platform Engineer - Hybrid Cloud & Automation

bluecrestcapitalmanagement; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

BlueCrest Capital Management is seeking an experienced Infrastructure Engineer to design, implement and support multi-tenant Linux environments across on-prem, colo and public cloud. You’ll ensure low-latency, reliable services for trading and business operations, with a strong emphasis on automation and standardisation.

The role requires hands-on Linux administration (SLES/RHEL), container platforms, Terraform/Terragrunt and scripting in Python/Bash, plus exposure to AI/ML workloads would be

Qualifications

• Extensive knowledge of a major Linux Enterprise Server distribution with admin & automation skills.
• Container platforms experience (Docker/Kubernetes); monitoring (Prometheus) and GitOps.
• Experience automating cross-platform services; scripting in Python/Bash is highly desirable.

Responsibilities

• Design, engineering and support of multi-tenant private/public cloud initiatives.
• Maintain and support BlueCrest Linux estate across On-Prem, Colo and Cloud.
• Participate in critical BAU and time-sensitive technology service delivery activities.

Skills

Linux admin

SUSE/RHEL

Container platforms

Terraform/Terragrunt

Python

Bash scripting

CI/CD pipelines

Ansible

Cloud/On-Prem integration

AI/ML workloads

Education

RH/RHEL Certification

SUSE Certification

Tools

Docker

Kubernetes

Prometheus

GitOps

Terraform

Terragrunt

Cloud-Init

JSON/YAML

Python

Ansible

Job description

BlueCrest Capital Management is seeking an experienced Infrastructure Engineer to design, implement and support multi-tenant Linux environments across on-prem, colo and public cloud. You’ll ensure low-latency, reliable services for trading and business operations, with a strong emphasis on automation and standardisation.

The role requires hands-on Linux administration (SLES/RHEL), container platforms, Terraform/Terragrunt and scripting in Python/Bash, plus exposure to AI/ML workloads would be