DevOps Engineer

DGH Recruitment Ltd

London, UK

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

£80,000.0 - £100,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Cloud Engineering Computer Programming Continuous Integration DevOps Distributed Systems Python (Programming Language) Node.Js Performance Tuning Azure Machine Learning

+9 more

Datadog Cloud Platform System System Availability Delivery Pipeline Grafana AI Platforms Kubernetes Infrastructure Automation Frameworks Machine Learning Operations

Job description

Salary: £80,000 - 100,000 per year

Requirements

5+ years experience in Platform Engineering / DevOps
Strong experience with AWS and cloud-native architectures
Proven knowledge of CI/CD, automation, and DevOps best practices
Experience with Kubernetes and containerisation technologies
Strong programming skills, for example Python, Go, or Node.js
Experience with observability tools, for example OpenTelemetry or Datadog
Understanding of security, performance optimisation, and scalability
Experience working on AI / ML platforms or deployments is desirable
Exposure to large-scale distributed systems is desirable
AWS certifications are desirable

Responsibilities

Design, deploy, and manage AI platforms and agent infrastructure
Build and maintain CI/CD pipelines and DevOps workflows
Implement observability, monitoring, and logging solutions
Optimise performance, scalability, and cost efficiency
Support AI teams with infrastructure, deployment, and integration
Ensure platform security, compliance, and high availability
Automate infrastructure using Infrastructure as Code tools
Troubleshoot and resolve platform issues

Technologies

AI
AWS
CI/CD
Cloud
Datadog
DevOps
Support
Kubernetes
OpenTelemetry
Python
Security
NodeJS

We are partnering with a leading organisation on a high-profile AI initiative and are seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. This is a full-time onsite role where you will work closely with Data Science and Engineering teams to design and operate a secure, scalable platform for deploying AI workloads and agents. We offer the opportunity to contribute to a significant AI platform effort with strong focus on reliability, deployment pipelines, and infrastructure excellence.