Platform Engineer (Governance & Assurance) - DevSecOps, Governance & Technical Assurance

Platform Engineer (Governance & Assurance)

(DevSecOps, Governance & Technical Assurance)

Our client, a highly regulated corporation is hiring a Platform Engineer with deep governance and technical assurance experience to play a pivotal role in shaping how a modern, cloud-native platform is built, secured, and operated. This is an exciting challenger, where you will gain opportunities to explore AI/ML governance for safe AI adoption. Our client is offering a basic salary of £95,000 + benefits + to operate on a fully remote basis.

You’ll act as a technical authority, setting the standards, guardrails, and governance that underpin secure, resilient, and compliant software delivery in a regulated environment.

You’ll work at the intersection of platform engineering, security, and software development, influencing how teams design, deploy, and operate systems at scale.

• Platform & DevSecOps Governance - Defining and enforcing DevSecOps standards, controls, and best practices
• Establishing governance for CI/CD pipelines, IaC, dependency management, and patching
• Ensuring engineering practices meet security, audit, and regulatory requirements
• Driving consistency, repeatability, and risk reduction across environments
• Infrastructure & Technical Assurance - Setting governance standards for Infrastructure as Code (Terraform/Bicep/ARM)
• Defining deployment, environment, and lifecycle management policies
• Providing technical oversight and assurance, not just implementation
• Reviewing and improving existing platform designs and practices

Essential

• Senior experience as a Platform Engineer, DevSecOps Engineer, or similar
• Strong background in cloud-native platforms (Azure preferred)
• Proven experience setting and enforcing technical standards and governance
• Deep understanding of IaC, CI/CD, security controls, and platform lifecycle management
• Experience working in regulated or high-assurance environments (healthcare, finance, public sector, etc.)
• Ability to explain complex technical decisions clearly to non-technical stakeholders
• Experience with AI/ML governance or safe AI adoption

Fully remote interview process.