Principal Platform Engineer (Governance & Assurance)
Principal Platform Engineer (Governance & Assurance)
Our client a highly regulated corporation is hiring a Principal Platform Engineer who has strong capabilites in new governance and assurance. The chosen individual will review, define and enforce standards across the group aligning to regulatory frameworks including Data Protection, GDPR, Health Data & Interoperability, Cybersecurity Frameworks (EU & UK), Medical Device regulation, National AI Commission (Healthcare focused).
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.
- 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.