Summary
✨ AI‑Generated
A platform engineering role focused on designing secure, automated cloud environments, improving deployment workflows, and applying AI-driven approaches to infrastructure operations.
Highlights
Build next-generation cloud platforms using automation, AI-driven engineering practices, and modern infrastructure technologies.
Description
Role: AI Native DevOps Platform Engineer
Location: London, United Kingdom (Hybrid)
Employment Type: Full-time, Permanent
Salary: Competitive + Benefits
Are you an experienced DevOps or Platform Engineer looking to build the next generation of cloud infrastructure using Azure, Terraform, automation and AI-first engineering practices?
We're looking for a hands-on AI Native DevOps Platform Engineer to design, automate, secure and operate highly scalable Azure platforms supporting both AI-powered and traditional cloud-native applications.
This is an opportunity to join an ambitious, product-led environment where AI is becoming a core part of the engineering lifecycle.
You'll work closely with Product Engineering teams and Technical Leadership to build cloud platforms, CI/CD pipelines, developer tooling and observability capabilities, while exploring how AI agents and intelligent automation can safely provision, deploy, operate and optimise infrastructure at scale.
What You'll Do
Design, build and operate secure, resilient and highly available Azure cloud platformsBuild and maintain Infrastructure as Code using Terraform and modern automation practicesDevelop cloud-native infrastructure using Azure services, containers and serverless technologiesBuild and improve CI/CD pipelines that enable fast, reliable software deliveryCreate self-service development environments, reusable platform services and engineering toolingUse AI-assisted and agent-driven approaches to improve infrastructure delivery and engineering productivityBuild platforms that enable AI agents to safely provision, test, deploy, configure and manage cloud environmentsDevelop governance controls, guardrails and approval workflows around AI-driven infrastructure changesImplement monitoring, logging, tracing and alerting across cloud platformsEstablish SRE principles and drive improvements across reliability, resilience and operational performanceEmbed security and governance throughout the software delivery lifecycleOptimise Azure environments for performance, scalability, reliability and costSupport model-serving infrastructure and AI observability capabilitiesLead incident response and drive continuous improvement across platform operationsSupport engineering teams working with distributed systems and microservices architectures
Required Experience
Strong experience working as a Platform Engineer, DevOps Engineer, SRE or Cloud EngineerDeep hands-on experience with Microsoft AzureStrong Infrastructure as Code experience using TerraformExperience building and managing modern CI/CD pipelines using Azure DevOps, GitHub Actions or similar toolingStrong understanding of cloud-native architecture, containerisation and container orchestrationExperience deploying and supporting distributed systems and microservicesStrong understanding of cloud networking, security and production platform operationsExperience implementing observability across monitoring, logging, tracing and alertingExperience building reliable, scalable and highly available cloud environmentsHands-on experience using AI tools or automation to improve infrastructure delivery, engineering productivity or operational efficiencyStrong understanding of security, governance and controls within cloud environmentsExperience supporting modern software engineering teams within fast-paced environments
Key Technologies
Microsoft AzureTerraformInfrastructure as CodeAzure DevOpsGitHub ActionsCI/CDContainers & Container OrchestrationAzure FunctionsMicroservicesCloud Networking & SecurityMonitoring, Logging & TracingSRE / ObservabilityAI-assisted EngineeringAI Agents & Intelligent AutomationAI Platform Engineering
Nice to Have
Experience building platforms or tooling that support AI/ML workloadsExperience with AI agents and agent-driven infrastructure automationExposure to model serving infrastructure and AI observabilityExperience creating self-service developer platforms or Internal Developer PlatformsKnowledge of secure AI deployment and AI governance practicesExperience designing automated approval and change-management workflowsExposure to FinOps or cloud cost-optimisation practicesExperience working within product-led engineering organisations
This role would suit an engineer who is strong at the fundamentals of Azure, DevOps, Terraform and platform engineering, but also wants to push beyond traditional infrastructure engineering and explore how AI can transform the way cloud platforms are built and operated.
If you're an Azure Platform or DevOps Engineer who wants to work at the intersection of cloud engineering, automation and AI, we'd love to hear from you.