MUST BE BASED IN THE UK AND HAVE RIGHT TO WORK - NO SPONSORSHIP AVAILABLE We are looking for a skilled and proactive AWS Engineer to join a dynamic start-up focused on revolutionising the way digital fraud is detected. This role will be fully remote, and the ideal candidate will have a strong background in AWS cloud services, particularly with serverless architecture, and the ability to optimise infrastructure to support advanced AI-driven fraud detection solutions. Key Responsibilities: Design, deploy, and manage AWS-based infrastructure using services such as SageMaker, Lambda, EventBridge, ECS, and CDK. Implement serverless architectures and automation solutions to optimise the detection of fraud in digital files. Ensure the scalability, reliability, and performance of the AWS infrastructure, supporting real-time analysis of images, PDFs, and metadata. Work closely with development and product teams to integrate cloud services into the company’s AI platform. Manage cloud security and ensure compliance with industry standards, ensuring the highest levels of data protection and privacy. Optimise costs by leveraging AWS best practices for cost efficiency and resource allocation. Provide ongoing technical support and guidance to internal teams, assisting with troubleshooting and continuous improvement. Requirements: Proven experience working with AWS services, especially SageMaker, Lambda, EventBridge, ECS, and CDK. Strong understanding of serverless architectures and cloud automation. Hands-on experience with infrastructure as code (e.g., AWS CloudFormation, Terraform ). Solid knowledge of cloud security, performance tuning, and cost optimisation best practices. Familiarity with AI-driven applications or fraud detection solutions is a plus. Ability to work independently, solve problems proactively, and deliver results in a fast-paced environment. Excellent communication skills, with the ability to collaborate across teams and explain complex technical concepts clearly. Desirable Skills: AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) would be a plus. Experience with CI/CD pipelines and automation tools. Knowledge of containerisation technologies such as Docker and Kubernetes .