Contract Full Stack Engineer

Colibri Digital; Greater London; Remote; GBP 65,000 - 111,000; Full time

Job summary

Colibri Digital is seeking a highly skilled Full Stack Developer for a 6 month remote contract based in the United Kingdom. You will design, build and scale intelligent systems and APIs for clients in finance, healthcare, logistics, government and technology.

The role emphasizes cloud-native platform engineering, reliable deployments, security and observability, with mentoring duties and strong client collaboration in a remote, UK-based setting.

Qualifications

• Must have strong Go experience and solid Python knowledge; Rust a plus.
• Experience building and operating multi-tenant platforms with zero-downtime deployments.
• Solid grasp of system design; write clean, maintainable, testable code.
• Understanding of cloud, on-premises and air-gapped environments; backup/restore, replication.

Skills

Go

Python

Rust

Platform engineering

Clean code

System design

Security

Observability

Communication

Incremental delivery

Tools

Gitea / GitLab

JupyterLab

Harbor / Nexus

Job description

Description

Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across sectors including finance, healthcare, logistics, government and technology. As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption - guiding clients from uncertainty to confident, production-grade delivery.

Department: Services

Location: Remote, UK

The role

We are seeking a highly skilled Full Stack Developer to join our team in a high-impact, client-facing capacity on a 6 month contract. This is a remote role; however the successful person must be based in the UK.

Skills, Knowledge and Expertise

• A passion for the craft - you're driven by engineering excellence and committed to fostering that culture across the team.


• Platform engineering - experience building and operating multi-tenant platforms. Hands-on experience building robust and scalable platforms with zero-downtime deployments across numerous customer environments.


• Strong software engineering foundations - you write clean, maintainable, testable code and have a solid grasp of system design. Have strong command of Go, plus working knowledge of Python. Comfort with Rust is also valued.


• Infrastructure expertise - understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments, including managing offline content, mirroring and provenance. Experience with HA stateful deployments including backup/restore and replication.


• Cloud native - fundamental understanding of Kubernetes primitives, how to debug live issues and how to harness infrastructure as code for deployment.


• API and service design maturity - experience designing APIs, CLIs and SDKs and APIs across multi-service systems with attention to versioning and backward compatibility.


• User code execution - experience building systems that run user code safely, robustly, and securely, with an understanding of sandboxing, isolation, and threat models.


• Security awareness - experience designing for security requirements, including authentication and access control (e.g. OIDC, RBAC), and taking part in security testing and compliance workflows.


• Reliability and observability mindset - experience providing QoS guarantees, implementing monitoring and alerting, and optimising observability in production.


• Communication and leadership - excellent communication skills to understand customer needs and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.


• Incremental mindset - you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Nice to have's

• Polyglot programming - deep expertise in Go and strong command of Python, with mastery of additional high-performance compiled languages like Rust or C++ considered a plus.


• DevEx expertise - hands-on experience building developer environments including Git hosting platforms (e.g. Gitea, GitLab), workspace tooling (e.g. Coder, JupyterLab) and package registries (e.g. Harbor, Nexus).


• ML packaging - experience with GPU/CUDA-aware environments and Python dependency management.


• Domain knowledge - understanding of 3D geometry processing (meshes, point clouds) and data structures used in physics-based simulations.


• Advanced testing - experience with fuzzing, deterministic simulation testing, or fault injection in production systems.


• Diagnostic and optimisation skills - proactive approach to diagnosing performance bottlenecks in data processing and storage systems.