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Open nowFirst seen 2 hours ago

Contract Full Stack Engineer

Nasstar12 open roles

Where
London, UK, Remote
Work mode
Remote
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Your applicationOpen nowContract Full Stack EngineerNasstar · London, UK, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nasstar's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Nasstar postings stay open a median of 1 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: first seen 2 hours ago

Nasstar median: 1 days open

The posting

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.

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.
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  1. A CV for this posting

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Nasstar's form

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