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Full Stack Developer

Posted on Jul 7, 2021 by FGL Partners

Norwich, Norfolk, United Kingdom
IT
Immediate Start
£45k - £45k Annual
Full-Time


Full Stack/Front End Developer

Front End Developer | Full Stack Developer | AWS | JavaScript | Cloud | Python | MySQL | React | Remote

A rapidly growing boutique data science, machine learning, and artificial intelligence technology company is seeking a Full Stack/Front End Developer. to join the team.

This role would suit an ambitious, dynamic, and multifaceted individual who wants to join a creative, close-knit team in a forward-thinking, fast-growing company with a diverse working environment.

Requirements:

  • Experience in developing and maintaining full-stack projects
  • Solid understanding of either Node.js or Python with an associated Back End framework (ie, Django, Pylons, Flask, etc.)
  • Experience working with one or more relational databases (MySQL, PostgreSQL or similar)
  • A strong working knowledge of JavaScript and at least one of the major frameworks, such as React, Angular, Vue, etc.
  • A passion for writing reusable code in a clean way
  • Enthusiasm for best practice in software development
  • The ability to learn and adapt to new technology platforms
  • Good communication skills, and a desire to work in a highly collaborative environment
  • Ability to interact with colleagues and stakeholders, including end-users
  • Is excited about rapid iteration and understands the importance of a short feedback loop
  • Previous commercial experience in Full Stack/Front End development
  • Experience working with a Cloud-based computing platform (ideally AWS)

Benefits:

  • Remote Working
  • A competitive base salary with the chance to earn a significant performance-related bonus as part of the client's employee gain share scheme
  • 28 days (in addition to bank holidays) of paid annual leave
  • Up to 14% employer pension contribution matching
  • The opportunity to work from home and set your own working hours
  • The chance to use the latest technologies and work on genuine cutting-edge problems in the field of AI and machine learning



Reference: 1248715010

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