Redefines the path to production using AI-enabled platform engineering
Owns the design and delivery of modern developer platforms on AWS
Drives policy-as-code adoption across both infrastructure and the SDLC
Embeds AI tooling and automation to accelerate and govern the delivery lifecycle
Design and build AWS-native developer platforms that modernise the path to production
Implement policy-as-code frameworks (e.g. OPA, AWS Config Rules) for infrastructure governance
Extend policy-as-code principles into the SDLC (PR gates, compliance checks, pipeline guardrails)
Integrate AI tooling to automate code review, security scanning, and deployment decisions
Define and enforce golden paths for service onboarding, CI/CD, and infrastructure provisioning
Build self-service developer tooling that reduces cognitive load and accelerates delivery
Ensure secure, scalable AWS environments using IAM, VPC, SCPs, and infrastructure-as-code
Collaborate with engineering teams to embed platform standards across the delivery lifecycle

Strong AWS platform engineering experience (CDK, CloudFormation, or Terraform)
Hands-on experience implementing policy-as-code (OPA, Sentinel, AWS Config, or equivalent)
Deep understanding of CI/CD pipelines and modern path-to-production patterns
Experience embedding governance and compliance controls into the SDLC
Solid scripting / automation skills (Python and/or Bash)
Proven ability to build and operate self-service internal developer platforms
Experience with AI-assisted tooling or LLM integration in engineering workflows
Strong security mindset with experience securing cloud-native, production-grade systems
Familiarity with AWS service control policies (SCPs) and organisation-level guardrails
Experience with developer portals or IDP tooling (e.g. Backstage)
Knowledge of FinOps principles and cloud cost governance
Exposure to AI code assistants or AI-driven pipeline automation
Experience with container orchestration (ECS, EKS) and serverless patterns
Familiarity with software supply chain security (SBOM, SLSA, Sigstore)
Background in platform or DevOps engineering within regulated or enterprise environment

Lead AI-Enabled Platform Engineer

Key skills