Senior Go Developer

Fleet
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

Senior Software Engineer, MLOps (Autonomy)

Artificial Intelligence Engineer

At CV-Library, we have a simple vision: to help the world to work and we are looking for exceptional and talented people to help us realise this vision in both UK and overseas markets.
We are in a period of accelerated growth, following a year of key strategic acquisitions and significant investment across all parts of the business from Tech and Data to People and HR, there's never been a more exciting time to join us or a better place to grow your career!
The Role
We are looking for a Senior Go Engineer to join our team. As a Senior Software Engineer, you will be responsible for directing software development projects, producing clean code and coaching junior members of the team. You will possess extensive experience in software development, project management and have in-depth knowledge of programming languages and databases. If you are passionate and experienced software engineer, we want to hear from you!
What your day will look like:

  • Working with Product, Architecture and the Principal Software Engineers to explore and suggest appropriate technical solutions to achieve the required product features
  • Stay informed of new features and technologies as they relate to software operations
  • Provide technical and procedural guidance to others on new software features and systems
  • Improve upon existing software and systems
  • Work on all stages of a software system's lifecycle, including design, implementation, testing, delivery and eventual maintenance
  • Implement software features, fix bugs and optimise performance
  • Produce reports describing usage, capabilities and defects of software systems
  • Serve as an engineering leader and coach to other software engineers
  • Create, update and maintain technical documentation
  • Remain up-to-date on industry standards, emerging technologies and best practice methodologies
  • Work with the engineering and operations teams to ensure projects are delivered on time and adhering to our standards
    Requirements
    Essential
  • Excellent communication and coaching/mentoring skills
  • Strong problem-solving and organisational skill set
  • Experience delivering applications using CI/CD tools following best practices
  • Technology agnostic with an open mind
  • Self-motivated and a willingness to get stuck in
  • Understands the importance, the purpose and the implementation of testing (using TDD etc.)
  • Experience of supporting, modifying and maintaining systems and code developed by teams other than your own
  • Demonstrable experience developing software in micro-services paradigm
  • An ability to effectively understand and translate product and business requirements into technical solutions
  • Strong knowledge of search theory, search methods, query understanding, named entity recognition, word-sense disambiguation, language modelling, parsing, syntax trees, dependency graphs
  • Practical work experience using machine learning techniques to improve Search capabilities
  • Ability to analyse large data sets and develop insights that will improve our software and the customer experience
    Desirable
  • 4+ years programming experience
  • Experience with working within an Agile environment
    Skills
    Essential
  • Exceptional experience with Go
  • Experience with Go HTTP frameworks such as Echo, Gin or Gorilla Mux
  • Excellent experience with Search technologies (Elasticsearch, Solr etc.)
  • Excellent knowledge of Testing Frameworks
    Desirable
  • Knowledge of Python, Rust, PHP or Perl
    Benefits
    We are actively committed to promoting a fully diverse and inclusive workforce and we welcome applications for this role from all candidates who meet the key requirements. Please do not hesitate to get in touch should you require any reasonable adjustments to assist with your application

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.