> Markdown version of [/jobs/ext/3179408-graduate-aws-cloud-consultant](https://www.wearedevelopers.com/jobs/ext/3179408-graduate-aws-cloud-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graduate AWS Cloud Consultant - **Company:** Lambert Labs - **Location:** London, UK (Remote available) - **Experience:** Starter - **Salary:** £40,000.0 - £55,000.0 - **Contract:** Temporary to permanent - **Skills:** .NET Framework, PHP (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Big Data, Cloud Computing, Databases, Continuous Integration, Linux, DevOps, Github, Python (Programming Language), Node.Js, Software Engineering, Large Language Models, Software Application Programming, Infrastructure as Code (IaC), Cloudformation, Fastapi, Containerization, AI Platforms, Terraform, Code Restructuring, GPT, Data Pipelines, Docker - **Published:** September 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b5cf78741f9b4f75 ## About the Role While technical skills are important, we are hiring for aptitude and attitude above all else. We are looking for a natural communicator and a rapid learner who wants to grow a small business with huge potential. What we are most interested in is your ability to learn quickly., * Exceptional communication: you can explain complex concepts with clarity, both orally and in writing. You are an active listener and can build rapport with customers and colleagues alike. * Knack for learning fast: you are driven to understand how things work and are not intimidated by new technologies. * A problem-solving mindset: you are resourceful, logical, and enjoy breaking down a complex challenge into manageable steps to find a solution. * Motivation and drive: you have a proactive, can-do attitude and are passionate about delivering high-quality work and making a real impact. Your background * 2:1 or higher in a technical degree, or equivalent demonstrated technical capability (portfolio, projects, work experience). * You make use of AI in your day to day life and are naturally curious about technology and cloud. * Hands-on experience with cloud computing concepts, preferably on AWS, but Azure, GCP or another provider is fine as well! * We're interested in seeing your work - a GitHub profile, university project, bootcamp certificate, or anything you've built or deployed. * You do not need to have AWS certifications when applying for this role. We will prepare you for AWS Solutions Architect Associate in your first 6 months, with a pathway to Professional in year two. * If you come from a software engineering background then that would also be useful; we also write and maintain lots of Python applications. * If you have any exciting AI projects that make use of LLMs and/or Foundational Models that would be of interest to us; we build and deploy interesting AI apps for our customers. Nice-to-have (experience of at least one): * Infrastructure as code (IaC) with Terraform and/or CloudFormation * Containerization of Python, NodeJS, PHP and .NET applications using Docker. * Building applications or workloads with Foundational Models such as OpenAI's GPT or Anthropic's Claude, preferably via Amazon Bedrock. * Managing databases on the cloud. * Continuous integration and delivery (CI/CD) pipelines. ## Description In the role you will work on a variety of projects, including, but not limited to: * Modernizing AWS infrastructure by decoupling monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. * Building AI applications using AWS' suite of AI services including Amazon Bedrock. * Using multimodal LLMs to build applications that supercharge existing businesses with AI. * Building data processing pipelines on AWS. * Writing Terraform or CloudFormation to template AWS infrastructure. * Conducting AWS Well-Architected Reviews of customers' AWS infrastructure, writing feedback reports and remediating High-Risk Issues. * Migrating Linux and/or Windows workloads from either on-premises or other cloud providers to AWS. * Refactoring multi-tenanted customer applications deployed in a single AWS account into an AWS Organization made up of multiple AWS accounts. Customer engagements are typically less than 4 weeks in duration, but we do have customers who we complete longer engagements with and for some customers we complete multiple engagements each year. Typically, engagements include one or two consultants from the Lambert Labs side working with the customer. Because we are so deeply immersed in the AWS Partner Program there are also a number of tasks that are focused on this area. These include: * Training for AWS certifications from the . We expect our AWS Consultants to study for and maintain the AWS Certified Solutions Architect Professional and AWS Certified DevOps Engineer certifications as a minimum; several of our AWS Consultants have many more certifications. If you don't yet have these certifications, we will give you time and training to obtain them. * Writing funding applications for AWS Proof of Concepts, the AWS Well-Architected Partner Program, the AWS Migration Acceleration Program or other AWS funding programs. * Applying for and validations on behalf of Lambert Labs. * Engaging with AWS Solutions Architects and AWS Account Managers aligned with our customer accounts. * Attending events. Our AWS Consultants attend and also sometimes attend when we are exhibiting at industry events (in 2026 we are exhibiting at Big Data and AI London, DTX London, DTX Manchester, AWS Summit London, AWS Cloud Day Dublin and DIGIT Edinburgh). * Speaking at industry events. * Writing customer case studies or technical articles for our website or other platforms. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Seriously gaming your cloud expertise: from cloud tourist to cloud native](https://www.wearedevelopers.com/videos/373-seriously-gaming-your-cloud-expertise-from-cloud-tourist-to-cloud-native) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)