Graduate DevOps Engineer

Do you have experience working with DevOps technologies, such as Docker, AWS, and CI/CD pipelines? Are you looking for early responsibility and quick career growth? The Company This is an exciting opportunity to join a growing software house who are integrating AI into their existing product range. Over the past 20 years, they’ve revolutionised document management and business operations software, driving efficiency in the construction sector and beyond. Following rapid growth in the team and uptake in their AI-powered software solutions, they are looking for a recent graduate with experience on DevOps projects to join the team and work with their innovative technology. The Role You will work closely with the company’s development and AI teams to scale and modernise their market-leading platforms. Your main responsibilities will include: Building, configuring, and optimising secure AWS environments. Creating CI/CD pipelines, Infrastructure as Code, and monitoring/logging tools. Supporting the deployment of containerised applications with Docker. Experiment with new tools and technologies, and apply them to real projects This is an excellent opportunity to join a fast growing AI company, where you’ll be trusted with early responsibility, be supported by senior team members, and be given real challenges to solve. Their office is commutable from London and Cambridge. You must live within a commutable distance or be able to relocate asap. About you If you’re an ambitious graduate who has shown curiosity with DevOps technologies – experimenting with deployment tech, designing your own CI/CD pipelines, using cloud platforms, etc – throughout university or in personal projects, then they want to hear from you! You should also have: 2:1 (or equivalent) in a Computer Science or STEM degree. Hands on experience with Cloud technologies, such as AWS. Use of Docker/containerisation tech. An understanding of CI/CD pipelines, Git, and GitHub actions. Exposure to Linux based systems. Understanding fundamentals (networking, remote systems, command line tools) Confident with scripting languages (Python, etc). Experience with Infrastructure as Code (Terraform,, CloudFormation), monitoring/logging tools (Prometheus, CloudWatch) and AI is beneficial, but not necessary.