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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Native DevOps Platform Engineer - **Company:** Sanderson Recruitment Plc - **Location:** London, UK - **Experience:** Expert - **Salary:** £90,000.0 - £100,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Continuous Integration, DevOps, Programming Tools, Distributed Systems, Github, Systems Development Life Cycle, Reliability Engineering, Software Deployment, Software Engineering, Datadog, Data Logging, Cloud Platform System, System Availability, Delivery Pipeline, Infrastructure as Code (IaC), Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Hashicorp, Terraform, Serverless Computing, Microservices - **Published:** September 28, 2026 - **Apply:** https://www.reed.co.uk/jobs/ai-native-devops-platform-engineer/57397477 ## About the Role * Significant experience working as a Platform Engineer, DevOps Engineer, Site Reliability Engineer or Cloud Engineer * Strong hands-on expertise across Microsoft Azure and cloud-native technologies * Strong Infrastructure as Code experience using Terraform * Experience designing, building and operating scalable, highly available cloud platforms * Strong experience building CI/CD pipelines using Azure DevOps, GitHub Actions or similar technologies * Experience with containerisation, container orchestration and modern cloud-native architectures * Experience deploying and supporting distributed systems and microservices * Strong understanding of cloud networking, security and production platform operations * Experience implementing observability across monitoring, logging, tracing and alerting * Experience applying SRE principles to improve platform reliability and operational performance * Experience using AI tools, intelligent automation or AI agents to improve engineering productivity, infrastructure delivery or software delivery * Understanding of security, governance and operational controls within enterprise cloud environments * Experience supporting modern software engineering teams within fast-paced, product-led environments Key Technologies * Microsoft Azure * Terraform * Infrastructure as Code (IaC) * Azure DevOps * GitHub Actions * CI/CD * Containerisation & Container Orchestration * Azure Functions * Microservices * Distributed Systems * Cloud Networking & Security * Monitoring, Logging & Tracing * SRE & Observability * AI-Assisted Engineering * AI Agents & Intelligent Automation * AI Platform Engineering Nice to Have * Experience building platforms or infrastructure supporting AI and machine learning workloads * Hands-on exposure to AI agents and agent-driven infrastructure automation * Experience supporting model-serving infrastructure and AI observability tooling * Experience building self-service developer platforms or Internal Developer Platforms * Knowledge of secure AI deployment, governance and approval frameworks * Experience implementing automated infrastructure change and approval workflows * Exposure to cloud cost optimisation and FinOps practices * Experience with serverless technologies and managed Azure services * Relevant Microsoft Azure, DevOps or HashiCorp Terraform certifications * Experience working within Agile and product-led engineering environments If you're a Platform or DevOps Engineer who thrives on cloud automation, technical innovation and using AI to transform the way infrastructure is built and operated, we'd love to hear from you. ## Description 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 drive continuous improvement across production environments * Work closely with engineering teams delivering microservices and distributed cloud-native applications, If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you. Skills * CI/CD * Containerisation * Terraform * GitHub Actions * Azure DevOps * Cloud Engineering * DevOps * Infrastructure as Code (IaC) * Microsoft Azure * Platform Engineering ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)