AI Native DevOps Platform Engineer

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

United States Digital Space LLC is seeking an AI Native DevOps / Platform Engineer to design, automate, secure, and operate Azure platforms powering our AI-enabled and cloud-native products. You will build cloud platforms, deployment pipelines, automation, and observability tooling, leveraging AI-first engineering practices in a hybrid work model.

You will lead IaC with Terraform, design resilient architectures, and drive platform standardisation to boost reliability, performance, and security

Qualifications

• Significant experience as a Platform Engineer, DevOps Engineer, SRE, or Cloud Engineer.
• Strong expertise with Azure cloud technologies.
• Experience building CI/CD pipelines using Azure DevOps, or similar platforms (GitHub Actions, etc).
• Strong Infrastructure as Code experience using Terraform.
• Experience deploying distributed systems and microservices architectures.
• Strong understanding of cloud networking, security, and platform operations.

Responsibilities

• Build and maintain IaC using Terraform and AI-assisted practices.
• Design secure, scalable Azure cloud architectures.
• Deliver cloud-native infra using Azure Functions, containers, and managed services.
• Improve platform performance, reliability, and cost.
• Build deployment pipelines and automation for fast software delivery.
• Create self-service environments and platform tooling.
• Advance productivity through AI and automation and platform standardisation.
• Improve release processes and operational excellence across teams.
• Lead incident response and continuous improvement initiatives.
• Embed security and governance across the delivery lifecycle.
• Develop AI platform services and governance controls.
• Support model serving infra and AI observability tooling.

Skills

Cloud infrastructure

Platform engineering

Automation

SRE mindset

Tools

Terraform

Azure DevOps

GitHub Actions

Kubernetes

Job description

Role 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.

Role Requirements

• Significant experience as a Platform Engineer, DevOps Engineer, SRE, or Cloud Engineer.
• Strong expertise with Azure cloud technologies.
• Deep understanding of cloud‑native platforms and container orchestration.
• Experience building CI/CD pipelines using Azure DevOps, or similar platforms (GitHub Actions, etc).
• Strong Infrastructure as Code experience using Terraform.
• Experience deploying distributed systems and microservices architectures.
• Strong understanding of cloud networking, security, and platform operations.
• Experience using AI to improve infrastructure delivery, engineering productivity, operational efficiency, and software delivery outcomes.
• Experience supporting modern software engineering teams in a fast‑paced environment.

Skills and Abilities

• Deliver highly scalable cloud infrastructure supporting our products.
• Establish best practices for AI‑native platform engineering, agent‑driven automation, and cloud infrastructure delivery.
• Improve platform reliability, resilience, and security posture.
• Drive platform automation, engineering efficiency, and operational excellence through AI‑assisted and agent‑driven approaches.
• Design secure operating models for AI‑driven infrastructure provisioning and change management.
• Support rapid experimentation and innovation within an ambitious product led environment.

Management Duties

* No

We are an equal opportunity employer, and we are proud to share that 93% of our employees say they can be themselves at work. We aim to hire our industry's finest people because the best people drive the best outcomes. And we forever challenge the status quo because we know there are always ways to improve things. Because together, we’re limitless.

We value applicants from all backgrounds and foster a culture of inclusivity. We understand the need for flexibility, so work in a hybrid model. Please let us know if you require any reasonable adjustments during the recruitment process.