At a Glance
- Tasks: Design, build, and manage cloud-based platforms for diverse clients using cutting-edge technology.
- Company: Join a rapidly growing Business Transformation Consultancy focused on technology and innovation.
- Benefits: 25 days holiday, competitive salary, mentorship, and structured career development.
- Other info: Dynamic environment with opportunities for real-world projects and career growth.
- Why this job: Kickstart your tech career with hands-on experience in AI, automation, and cloud engineering.
- Qualifications: Bachelor’s degree in a tech field and basic programming skills required.
The predicted salary is between 28000 - 35000 £ per year.
We are a Business Transformation Consultancy committed to helping organisations achieve genuine value from their technology investments. Our mission is to empower clients to work smarter through modern, secure, and efficient technology solutions. We are growing rapidly and seek to nurture early-career talent passionate about technology, digital innovation, and business transformation. You will have the opportunity to work with a diverse range of clients on complex challenges, using cutting-edge technology to deliver measurable business outcomes.
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 Responsibilities
- 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.
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.
Experience
- 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.
- 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).
Values Alignment
- Teamwork: Works collaboratively, builds trust, and fosters an inclusive, high-performance culture.
- Adaptability: Navigates uncertainty, embraces change, and continuously seeks improvement.
- Drive: Takes ownership, delivers results, and thrives in a fast-paced, ambitious environment.
- Integrity: Acts with honesty, transparency, and ethical responsibility in all decisions.
- Commitment: Dedicated to the business vision, takes responsibility, and sees challenges through to completion and on time.
Reporting & Key Relationships
Reports to: Head of Practice and Engineering Lead
Key Internal Stakeholders: All teams within the organisation.
External Stakeholders: Assigned client reps
25 days holiday allowance (plus bank holidays)
Graduate Platform Engineer employer: Lean Tree
At Lean Tree, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to nurturing early-career talent means you'll receive mentorship from experienced professionals while working on cutting-edge technology projects that drive real business transformation. With structured career pathways, opportunities for hands-on experience in AI and cloud engineering, and a supportive work environment, we empower our employees to thrive and grow in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Platform Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend tech meetups, webinars, or even local events. You never know who might have a lead on that perfect Graduate Platform Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud technologies or automation. This is your chance to demonstrate your technical prowess and passion for technology to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Brush up on your knowledge of cloud platforms and DevOps tools. We want you to feel confident and ready to tackle any challenge thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Lean Tree.
We think you need these skills to ace Graduate Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate Platform Engineer role. Highlight any relevant projects or internships, especially those involving cloud technologies or automation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about technology and how you can contribute to our mission. Share specific examples of your problem-solving skills and adaptability in fast-paced environments.
Showcase Your Technical Skills:Don’t forget to mention your programming or scripting skills, as well as any experience with cloud platforms like AWS or Azure. We love seeing practical applications of AI or automation in your past work!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Lean Tree
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud technologies like AWS, Azure, or GCP. Be ready to discuss any academic projects or internships you've done that involved cloud deployment or automation. This will show your passion for technology and your ability to apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific complex technical problems you've solved in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and how you can contribute to solving challenges for clients.
✨Emphasise Your Adaptability
Since the role requires thriving in a fast-paced environment, be ready to share examples of how you've adapted to change or learned new technologies quickly. Highlight any experiences where you had to pivot your approach or learn something new on the fly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to digital transformation and how they integrate emerging technologies like AI. This shows your genuine interest in the role and helps you understand how you can fit into their mission of delivering value through technology.
