Graduate AWS Cloud Consultant

Lambert Labs; Greater London; Hybrid; GBP 30,000 - 52,000; Full time

Benefits offered by this job

25 days holiday

Flexible hybrid working

Budget for professional development/AW

Quarterly company socials

Cycle to work

Job summary

Lambert Labs seeks a Graduate AWS Cloud Consultant to join our London team on a hybrid basis. You will modernize AWS infrastructure, build data pipelines and AI apps, and prepare for AWS certifications with structured training.

You will learn quickly in a hands-on environment, collaborate with experienced consultants, and contribute to diverse customer engagements while benefiting from a generous holiday allowance and a flexible hybrid model.

Qualifications

• Excellent communication skills, both oral and written.
• Fast learner with a proactive, can-do attitude.
• Strong problem-solving approach to cloud challenges.
• Motivation to learn, grow, and deliver high-quality work.

Responsibilities

• Modernize AWS infrastructure, decoupling monoliths with containers and managed services.
• Build AI applications using AWS AI services including Bedrock.
• Use multimodal LLMs to develop AI-powered apps for businesses.
• Create data processing pipelines on AWS and write infrastructure as code (Terraform/CloudFormation).
• Conduct Well-Architected Reviews and remediate high-risk issues.
• Assist with migrating workloads to AWS and reorganizing accounts into a multi-account structure.

Skills

Exceptional communication

Knack for learning fast

Problem-solving mindset

Motivation and drive

Education

Bachelor's degree in a technical field (2:1 or higher)

Tools

Terraform

CloudFormation

Docker

CI/CD tools

Job description

Lambert Labs is looking for a Graduate AWS Cloud Consultant to join its team.

We are an AWS Advanced Tier Services partner that helps customers across a wide range of industries migrate to AWS, modernize their AWS infrastructure and innovate on AWS (with data and AI). Our services are in demand – we have worked with 200+ AWS customers.

Lambert Labs is looking for a Graduate AWS Cloud Consultant to join its team.

We are an AWS Advanced Tier Services partner that helps customers across a wide range of industries migrate to AWS, modernize their AWS infrastructure and innovate on AWS (with data and AI). Our services are in demand – we have worked with 200+ AWS customers.

Location and eligibility

London-based, hybrid working. Permanent right to work in UK required; we cannot sponsor visas.

The role

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 AWS Certification pathway . 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 AWS Competencies and AWS Service Delivery validations on behalf of Lambert Labs. As things stand, Lambert Labs has the Generative AI, SMB, DevOps and Nonprofit Consulting Competencies, along with 6 different AWS service-specific Service Delivery validations.
• Engaging with AWS Solutions Architects and AWS Account Managers aligned with our customer accounts.
• Attending events. Our AWS Consultants attend AWS Experience events 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.

Who we are looking for

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.

What matters most

• 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!
• Nice-to-have (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.
• 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.

Benefits

• A competitive salary and performance-based bonus scheme.
• Excellent work-life balance.
• 25 days holiday per year, plus bank holidays.
• A flexible, hybrid working model combining remote work with our London office.
• A generous annual budget for professional development, training, and AWS certifications.
• The opportunity to work with a talented, supportive team on challenging and impactful projects.
• Quarterly company socials.
• Cycle to work scheme.

Lambert Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.