AI Native DevOps Platform Engineer
| Company: | Aventum Group |
|---|---|
| Salary: | Not specified |
| Hours: | Full-time |
| Location: | London, EC3R 8AF |
| Working pattern: | Hybrid - 2 days remote |
| Job type: | Permanent |
| Posting date: | 10 Aug 2026 |
| Closing date: | 9 Sept 2026 |
Summary
We are seeking an AI Native DevOps / Platform Engineer who combines strong cloud infrastructure and platform engineering expertise with hands-on experience delivering AI-enabled platforms, automation, and engineering solutions. You will design, automate, secure, and operate the Azure platforms that power our products, whilst developing cloud-native solutions using AI-first engineering practices. Working closely with Product Engineering Teams and Technical Leadership, you will build the cloud platforms, infrastructure, deployment pipelines, automation, observability frameworks, and engineering tooling that enable the rapid delivery of both AI-powered and traditional cloud-native applications. We are building an AI-native engineering capability where AI agents and intelligent automation are increasingly used to design, provision, deploy, operate, and optimise cloud platforms under appropriate governance and control.
Role Accountabilities
DevOps & Infrastructure
- Build and maintain Infrastructure as Code (IaC) using Terraform and similar technologies, leveraging AI-assisted and agent-driven engineering practices.
- Design resilient, secure, and highly available cloud architectures.
- Deliver cloud-native infrastructure solutions using Azure Functions, container platforms, and managed cloud services.
- Optimise platform performance, scalability, reliability, and cost.
CI/CD & Developer Experience
- Build world-class deployment pipelines and automation that enable fast and reliable software delivery.
- Create self-service development environments and platform tooling.
- Drive engineering productivity through AI, automation, self-service capabilities and platform standardisation.
- Improve release processes and operational excellence across teams.
Reliability & Observability
- Implement monitoring, logging, tracing, and alerting solutions.
- Establish platform SRE principles and operational standards.
- Proactively identify and resolve reliability, security, and performance issues.
- Lead incident response and continuous improvement initiatives.
Security & Governance
- Embed security throughout the software delivery lifecycle.
- Implement security, governance, compliance, and operational controls across production environments.
- Champion secure AI deployment practices.
AI Platform Engineering
- Build, operate, and continuously improve platforms that enable AI agents to provision, test, deploy, configure, and manage cloud solutions safely, securely, and at scale.
- Develop guardrails, governance controls, and approval workflows for AI-driven infrastructure and platform operations.
- Drive the use of AI technologies to improve engineering productivity, operational efficiency, platform reliability, and solution delivery.
- Create reusable AI platform services and automation capabilities.
- Support model serving infrastructure and AI observability tooling.
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