Lead Platform Engineer — AI, CI/CD & Security

Devopsroles; West of England; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Rowden in Bristol is seeking a Principal Platform Engineer to define and lead the internal platform that underpins how we develop, deploy, and operate technology. You will shape architecture, drive platform strategy, and raise the standard of engineering across the organisation.

This hands-on leadership role blends hands-on coding with strategic direction, mentoring engineers, and delivering self-service infrastructure, CI/CD, and secure, scalable patterns for AI workloads.

Qualifications

• Extensive experience designing, building, and operating engineering platforms at scale.
• Deep understanding of infrastructure-as-code, CI/CD, and platform product thinking.
• Experience with agentic AI workloads and AI model orchestration.
• Proven ability to define API strategies and integration layers.

Responsibilities

• Define the technical architecture and long-term direction of the internal developer platform (IDP).
• Lead the design and evolution of IDP capabilities, including self-service provisioning and deployment workflows.
• Define the platform's approach to agentic AI and governance for reliable AI deployment.
• Own CI/CD pipelines to support secure, efficient software delivery.
• Drive modular platform capabilities for scalable, reusable components.
• Embed security, compliance, and best practices by design in the platform.

Skills

Platform engineering

CI/CD

Kubernetes

Terraform

FluxCD

AI workloads

APIs & integration

Observability

Security by design

Python/Go

Tools

Kubernetes

Terraform

FluxCD

Job description

Rowden in Bristol is seeking a Principal Platform Engineer to define and lead the internal platform that underpins how we develop, deploy, and operate technology. You will shape architecture, drive platform strategy, and raise the standard of engineering across the organisation.

This hands-on leadership role blends hands-on coding with strategic direction, mentoring engineers, and delivering self-service infrastructure, CI/CD, and secure, scalable patterns for AI workloads.