Location
London - Hybrid, typically 2-3 days per week in the office.

Hours
Full-time, permanent contract.

Salary
£30,000-£38,000 per annum + 10% bonus + 10% share options + benefits.

About the Role
Launch your platform engineering career at Appvia by joining our first new graduate engineering academy in several years. You will be part of an initial cohort of six Graduate Platform Engineers joining our AWS Practice to support a major new UK public sector programme. This is a unique opportunity to develop your skills in a growing, specialist technology consultancy where you will learn directly from experienced engineers and contribute to meaningful, real-world delivery.

You will not be one of hundreds of graduates following a generic training programme. Instead, you will join a small cohort, receive direct support from senior and principal engineers, and gain practical experience across cloud, automation, DevOps, infrastructure, and modern platform engineering.

As a Graduate Platform Engineer, you will help design, build, support, and improve modern cloud platforms used by engineering teams to deliver software securely and efficiently. Your first project will be within Appvia’s AWS Practice, supporting a new platform engineering programme for a UK public sector customer. You will develop practical skills across AWS, infrastructure as code, Linux, automation, CI/CD, containers, platform operations, and DevOps practices.

The Appvia Academy combines structured development with hands-on project experience including mentoring, technical workshops, show-and-tells, certification support, and a personal learning budget. You will receive regular feedback and coaching with a clear but flexible progression pathway within Appvia’s AWS Practice. Exposure to wider areas such as software engineering, security, data, AI, and technical consulting is also provided.

Successful applicants must be eligible for UK Government Security Clearance as the first academy project supports a UK public sector customer.

Experience
- Support assessment of customer infrastructure, technical requirements, and cloud adoption opportunities.
- Build, configure, and improve AWS cloud environments and platform services.
- Contribute to cloud migration, implementation, support, and optimisation.
- Apply DevOps principles and automation techniques.
- Assist with infrastructure as code, scripting, CI/CD pipelines, and repeatable engineering processes.
- Investigate technical issues and provide timely support.
- Automate recurring operational tasks.
- Build proofs of concept for new technologies.
- Collaborate with engineers, delivery managers, and customer teams.
- Document configurations, decisions, troubleshooting, and processes.
- Participate in workshops, code reviews, and knowledge-sharing.
- Continue developing understanding of emerging cloud, platform engineering, data, and AI technologies.

About you
We seek curious, motivated graduates and early-career engineers eager to build a career in cloud and platform engineering. You do not need to know everything but should demonstrate the ability to learn, solve problems, collaborate, and take responsibility for your development.

You may have relevant experience from university, personal projects, placements, internships, bootcamps, certifications, open-source contributions, or early technical roles.

You should bring:
- Genuine interest in cloud technology, software, automation, and platform engineering.
- Basic understanding of cloud computing and modern software delivery.
- Some programming or scripting experience (e.g., Python, PowerShell, Bash, JavaScript).
- Familiarity with AWS, Azure, or GCP through coursework, projects, certifications, or practical experience.
- Basic Linux experience or strong interest in developing it.
- Good analytical, debugging, and problem-solving skills.
- Ability to break down problems and ask for support.
- Clear written and verbal communication skills.
- Ability to work collaboratively in diverse teams.
- Confidence to contribute ideas and challenge existing approaches constructively.
- Initiative, curiosity, and willingness to explore new solutions.
- Ability to work independently with appropriate direction.
- Proactive, organised, and calm approach to learning and delivery.
- Interest in how AI and automation can improve platform engineering and software delivery.

Qualifications
You should have one of the following:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, Data Science, or a relevant technical subject.
- Equivalent technical qualification, apprenticeship, bootcamp, or demonstrable practical experience.

Exposure to cloud computing through placements, internships, academic projects, personal labs, or previous roles is beneficial but not essential.

Relevant certifications are welcome but not required, including:
- AWS Certified Cloud Practitioner
- AWS Certified Solutions Architect - Associate
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Azure Administrator Associate
- Equivalent AWS, Azure, GCP, Linux, Kubernetes, or DevOps certifications.