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# DevOps Engineer

- **Company:** DGH Recruitment Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £80,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** 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, Datadog, Cloud Platform System, System Availability, Delivery Pipeline, Grafana, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815154321-devops-engineer

## About the Role

* 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

## 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

More

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.


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