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# Outside IR35 Contract Senior AWS Cloud Engineer (AI Platform)

- **Company:** Sanderson Recruitment Plc
- **Location:** Nottingham, UK
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Cloud Computing Security, Continuous Integration, Identity and Access Management, Python (Programming Language), Octopus Deploy, Azure Machine Learning, Spinnaker, Policy as Code, Data Logging, Amazon Virtual Private Cloud (VPC), Gitlab, Cloudformation, AI Platforms, Kubernetes, Terraform, Docker
- **Published:** July 29, 2026
- **Apply:** https://www.totaljobs.com/job/senior-aws-engineer/sanderson-recruitment-job107760532

## About the Role

* 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

## Description

* 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)


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