Principal Platform Engineer

Principal Platform Engineer (Education)

Reporting to: Engineering Director

Role Overview

The Principal Platform Engineer is the technical and architectural leader for a large-scale, education-focused cloud platform. This role defines and evolves an AI-first, cloud-native Internal Developer Platform (“Golden Path”) that enables global product teams to deliver secure, reliable SaaS solutions at speed. The platform is treated as a product, optimised for developer experience, automation, security, and operational excellence.

Key Objectives

  • Platform as a Product: Design and govern a standardised, self-service Internal Developer Platform that abstracts infrastructure complexity.
  • Architecture & Delivery: Establish enterprise Infrastructure-as-Code and CI/CD standards across a complex cloud environment.
  • Security by Design: Embed automated, non-bypassable security and compliance controls into platforms and pipelines.
  • Observability: Own global observability standards to enable proactive monitoring, incident response, and service visibility.

Technical Environment

  • Cloud: Azure (primary), with AWS and hybrid/on-prem exposure
  • IaC: Terraform, Bicep
  • Containers: Kubernetes / managed Kubernetes
  • CI/CD: Azure DevOps, TeamCity, Octopus Deploy
  • Observability: Datadog and native cloud tooling
  • Data: SQL Server, MySQL

Responsibilities

  • Own the architectural roadmap for platform tooling, CI/CD, and observability.
  • Design self-healing systems and standardised Golden Paths that eliminate manual operations.
  • Act as the senior authority for platform and cloud architecture decisions.
  • Lead cloud migrations and infrastructure modernisation initiatives.
  • Embed security, compliance, resilience, and FinOps practices by default.
  • Advise Engineering Leads and Managers on platform standards and strategy.
  • Continuously improve developer experience, delivery velocity, and platform reliability.
  • Research and introduce emerging technologies, including AI-driven operations.

Success Measures

  • 3 months: Unified observability standards, architectural discovery, and risk assessment.
  • 6 months: Flagship product migrated to target architecture; reusable IaC patterns delivered.
  • 12 months: Fully self-service developer platform with measurable DORA and stability improvements.

Experience & Skills

Essential:

  • Senior leadership experience in platform engineering within large-scale SaaS environments.
  • Deep Kubernetes and cloud-native architecture expertise.
  • Mastery of Terraform and Bicep.
  • Proven delivery of complex cloud migrations.
  • Strong security, compliance, and vulnerability management background.
  • Experience applying AI-assisted automation across the SDLC.

Desirable:

  • AI/ML applied to observability or operations.
  • DORA metrics and developer experience optimisation.
  • FinOps and cloud cost optimisation.
  • Designing resilient, highly available data platforms.

Job Details

Company
Shaw Daniels Solutions
Location
United Kingdom
Posted