IT & Software

Lead DevSecOps Engineer

AECOM

London · Greater London · United Kingdom

Overview

In this AI Engineering role, you guide DevSecOps for multi-cloud platforms, shaping secure, reliable pipelines and scalable infrastructure. You’ll collaborate with platform, product, and AI/ML teams to accelerate delivery while embedding security and governance by design. Your work enables faster, safer deployment of AI-powered infrastructure solutions that reduce waste and boost sustainability. This is a hands-on, high-impact role within a lean, technically driven team backed by a global engineering firm.

Pay / Benefits
  • comprehensive benefits package
  • potential for flexible work options
  • retirement savings plan
  • employee stock purchase plan
  • voluntary benefits
  • well-being resources
Responsibilities
  • Lead DevSecOps capabilities across CI/CD, IaC, observability, and cloud governance for Azure and GCP
  • Evolve CI/CD pipelines and reusable workflows with automated quality and security controls
  • Build observability and incident readiness to improve production reliability and performance
  • Define and track service reliability objectives and conduct post-incident reviews
  • Embed security into engineering workflows, including threat modelling, secrets management, and vulnerability remediation
  • Monitor cloud security posture and prioritize remediation across Azure and GCP
  • Manage vendor relationships with Microsoft, Google Cloud, and other key providers for reviews, escalations, and roadmap discussions
  • Collaborate with platform, product, and AI/ML engineers on architecture decisions and mentor peers
Key requirements
  • Hands-on experience in DevOps, SRE, platform engineering, or DevSecOps
  • Experience building and maintaining CI/CD pipelines (GitHub Actions or similar)
  • Proficiency with Infrastructure as Code and Terraform
  • Proven ownership of production reliability, observability, and incident management
  • Security reviews and controls across identity, secrets management, software supply chains, and vulnerability management
  • Experience with cloud providers (Microsoft, Google Cloud) including service reviews and escalations
  • Experience optimizing cloud expenditure in large Azure or GCP environments
  • Mentoring and leadership
  • Cross-functional collaboration
  • Problem-solving orientation
  • GitHub Actions
  • Terraform
  • Infrastructure as Code

Reference: WJ-747_30372202

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