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)
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