Outside IR35 Contract: Senior AWS Platform Engineer (AI Platform)
- Day Rate: Up to £600 Outside IR35
- Location: Remote/ Occasional travel London or the South-West
- Duration: 6 Months with the intention to further extend – long term greenfield programme
Our client is a FTSE100 Investment Management firm, we are seeking a AWS Platform Engineer to support on a £ multi-million greenfield AI platform build out with the long-term goal of DevOps automation.
As a Senior Platform Engineer, you'll own the foundations our engineering teams build on. This is a deep AWS role, you'll be shaping the multi-account estate itself, not just deploying workloads into it and a growing part of it is building the platform capability that lets teams ship AI-enabled products safely and at scale.
About you:
- Deep, hands-on AWS expertise at platform level. You've designed and built landing zones and multi-account environments from the ground up - account vending, SCPs, IAM/identity federation, VPC and hybrid networking, centralised logging, and guardrails - not just consumed them. For example, this role may not be suitable for someone whose AWS experience is shipping Lambdas into an account someone else built.
- (Highly Desirable) You've built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability).
- Expert-level Infrastructure as Code (Terraform strongly preferred; CloudFormation/CDK welcome) and strong scripting (Python, Bash) for complex automation and self-service tooling
- Strong CI/CD, containerisation and orchestration - Harness (or equivalent enterprise CD tooling such as ArgoCD, Spinnaker, GitLab), Docker, and Kubernetes/EKS, with pipelines and deployment policy managed as code
- Deep cloud security and governance knowledge - identity management, policy-as-code, and compliance standards (ISO, SOC, GDPR) in a regulated setting
- Proven track record designing scalable, resilient, cost-efficient AWS solutions in complex enterprise environments
- Strong analytical and decision-making skills, and the ability to explain technical concepts clearly to technical and non-technical stakeholders
- Experience mentoring engineers and raising the bar around you
What you'll do:
- Design, build and evolve our AWS platform foundations - multi-account architecture, landing zones, Organizations/Control Tower, guardrails, networking and identity
- Drive platform design and engineering standards, and embed golden paths that simplify and standardise how we build and run services
- Enable automation, reliability and cost optimisation at scale - treating infrastructure, pipelines and policy as code
- Mentor and support engineers, influence technical direction, and work across teams to deliver cloud-native solutions aligned to our clients goals
- Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly beneficial)