AI Native DevOps Platform Engineer

Rokstone Group

Greater London

Hybrid

GBP 100,000 - 150,000

Full time

14 days+
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Job summary

Rokstone Group in London is seeking an AI Native DevOps Platform Engineer who combines strong cloud infrastructure and platform engineering with hands-on AI-enabled automation to design and operate scalable Azure platforms powering our products. You will build cloud-native architectures and deliver automation, observability, and governance to support AI-driven and traditional services.

You will design IaC with Terraform, develop robust CI/CD pipelines, and advance platform tooling and

Qualifications

  • Extensive experience as Platform/DevOps/SRE/Cloud Engineer.
  • Deep expertise in Azure cloud technologies.
  • Strong knowledge of cloud-native platforms and containers.
  • Experience building CI/CD pipelines with Azure DevOps or equivalents.
  • IaC experience with Terraform.
  • Experience deploying distributed microservices.
  • Security, networking, and platform operations understanding.
  • Experience applying AI to infrastructure delivery and productivity.

Responsibilities

  • Design, automate, secure, and operate Azure-based platforms.
  • Create world-class deployment pipelines and automation.
  • Provide self-service development environments and platform tooling.
  • Drive engineering productivity through AI, automation, self-service capabilities and standardisation.
  • Improve release processes and operational excellence across teams.
  • Implement monitoring, logging, tracing, and alerting solutions.
  • Embed security, governance, compliance across production environments.
  • Develop guardrails and governance for AI-driven infra.

Skills

Platform engineering
DevOps
SRE
AI in infra

Tools

Terraform
Azure DevOps
GitHub Actions
Kubernetes

Job description

Job Details: AI Native DevOps Platform Engineer

Full details of the job.

Job Title

Vacancy No

Vacancy No VN584

Basis

Basis Permanent

Full Time / Part Time

Full Time / Part Time Full Time

Entity

Location City

Location City London

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.

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