Graduate Platform Engineer

This specialized technical platform engineering graduate scheme within an employee-owned digital transformation consultancy focuses on modern cloud architecture and automated system scaling, training graduates to design secure cloud infrastructure, deploy CI/CD pipelines, and implement AI-driven automation workflows across AWS, Azure, and GCP environments.

Who We Are

We are a Business Transformation Consultancy, passionate about supporting our clients with their transformation challenges and optimising how they work through the effective use of technology. Our goal is to help our clients realise true value from their investment.

We are growing quickly but continue to set the bar high and are looking to develop our early-stage talent for Technology and Digital Consultants who share our values and approach and bring subject matter expertise, passion and a desire to do the right thing for clients.

We offer our people the opportunity to develop their careers and act as a trusted advisor to a range of impressive clients, working on complex and varied digital and technology engagements and making a real difference to the company’s we support. 

As an Employee-Owned Trust (EOT), our people are at the heart of everything we do. Everyone has a stake in our success, a voice in how we operate, and a shared responsibility to act with integrity, ambition and care for our clients and each other. 

Role Purpose

This is an exciting opportunity for a technically gifted graduate with a strong academic background in Computer Science, Software Engineering, Information Systems, Artificial Intelligence or another technology-focused discipline. 

You will join our Platform Engineering team, helping to design, build, and manage the cloud-based platforms that underpin modern digital services.

This role will suit someone who: 

• Loves solving complex technical problems. 

• Understands the link between technology and business value. 

• Thrives in a fast-paced, evolving environment where curiosity and adaptability are key. 

• Has the drive to stay ahead of technological trends, including AI, automation, and cloud-native engineering. 

You will be mentored by experienced engineers and consultants, gaining practical exposure across cloud computing, DevOps, automation, and security disciplines.

Key Activities

• Support the design, deployment, and maintenance of scalable and secure cloud infrastructure. 

• Develop and maintain developer experience (IDP, agentic workflows), platform engineering including CI/CD pipelines, automation scripts, and infrastructure as code. 

• Monitor and improve system performance, observability, and resilience. 

• Contribute to initiatives on security hardening, compliance, and identity management. 

• Collaborate with developers and consultants to integrate solutions into client environments. 

• Assist in incident response and troubleshooting activities. 

• Participate in innovation projects exploring AI integration, platform optimisation, FinOps and emerging technologies. 

• Document technical procedures and contribute to knowledge sharing.  

Experience

Essential:

• Bachelor’s degree in a relevant subject, minimum Upper Second class (2:1) and above, and / or a related discipline and/or 1-2 years industry experience.  

• Good understanding of cloud technologies (AWS, Azure, or GCP). 

• Familiarity with Linux and Windows systems administration. 

• Basic programming or scripting skills (Python, Bash, PowerShell, or Go). 

• Awareness of observability tools (e.g. Prometheus, Grafana, ELK Stack). 

• Understanding of security principles, identity access management, and data protection. 

• A deep interest in automation, AI, and modern software delivery practices to ensure maximum productivity in all aspects of the work.  

• Understanding of networking fundamentals, APIs, and RESTful services.  

Desirable:

• Academic projects or internships involving cloud deployment, automation, or data processing. 

• Familiarity with microservices architectures or serverless computing. 

• Participation in open-source or personal technical projects. 

• Practical application of AI in any of the above demonstrating increased gains in output and value.  

• Exposure to DevOps tools (e.g. Docker, Kubernetes, Terraform, Git, Jenkins, or GitHub Actions). 

Typical Career Pathways

This role provides an exceptional foundation for careers in: 

• Platform or Cloud Engineering – Designing and managing high-performance cloud systems. 

• DevOps or Site Reliability Engineering (SRE) – Building automation pipelines and improving operational reliability. 

• Cybersecurity Engineering – Securing systems and networks through advanced tooling and policy design. 

• AI & Automation Consulting – Leveraging AI and ML in platform optimisation and workflow automation. 

• Technology Consulting – Advising clients on digital transformation strategies and technology investments. 

• At Lean Tree we aim to set a solid foundation for your career within 3-months of joining us, get you involved in client work within 6-months from which you will build your responsibilities and autonomy within the year.  

• Structured pathways and relevant certifications to support career development.  

• Typical projects are broad and varied with opportunities to get involved in cutting edge engineering with hands on experience in areas such as large-scale AI implementations in a real-world situation.  

Benefits

• A competitive salary 

• 25 days holiday allowance (plus bank holidays) 

• Enhanced Employer Pension Contribution  

• Enhanced Bonus Scheme  

• Health Insurance 

• Life Insurance   

• Training   

• EV Car Scheme