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 life cycle management
Experience working in regulated or high-assurance environments (health care, 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