AI Native DevOps Platform Engineer

Role: AI Native DevOps Platform Engineer

Location: London, United Kingdom (Hybrid)

Employment Type: Full-time, Permanent

Salary: £90,000 - £100,000 + Benefits

Are you an experienced DevOps or Platform Engineer with a passion for cloud automation, modern engineering practices and AI-driven technology? We're looking for a hands-on AI Native DevOps Platform Engineer to design, automate, secure and operate highly scalable Azure platforms while helping shape how AI is used across infrastructure and software delivery.

This is an opportunity to play a key role in building an AI-native engineering capability within an ambitious, product-led environment. You'll work closely with Product Engineering teams and Technical Leadership to deliver cloud platforms, infrastructure, deployment pipelines, observability and developer tooling, while introducing AI-assisted and agent-driven approaches to improve engineering productivity, reliability and operational efficiency.

What You'll Do

Design, build and operate secure, resilient and highly available Microsoft Azure platforms

Build and maintain Infrastructure as Code using Terraform and modern automation practices

Deliver cloud-native infrastructure using Azure Functions, container platforms and managed Azure services

Build and improve CI/CD pipelines to enable fast, reliable and repeatable software delivery

Create self-service development environments, reusable platform services and engineering tooling

Use AI-assisted and agent-driven engineering practices to improve infrastructure and platform delivery

Build platforms that enable AI agents to safely provision, test, deploy, configure and manage cloud environments

Develop governance controls, guardrails and approval workflows for AI-driven infrastructure operations

Implement monitoring, logging, tracing and alerting across cloud platforms and applications

Establish SRE principles and improve platform reliability, resilience and operational performance

Embed security, governance and compliance throughout the software delivery lifecycle

Optimise Azure environments for performance, scalability, reliability and cost efficiency

Support model-serving infrastructure and AI observability capabilities

Lead incident response and dri...