Senior Golang Engineer, REMOTE KRAKÓW WROCŁAW WARSAW


  • At least 4+ years of professional knowledge of Golang

  • Strong understanding of software development principles and design patterns

  • Experience with designing complex systems

  • Experience with Docker, Kubernetes and Cloud Native tools

  • Experience with building infrastructure with observability as first class concept

  • Well spoken and written knowledge of English language

  • An academic background in scientific or engineering field

  • Nice to have:



    • A knowledge of Python tools

    • Contribution to open source projects

    • Experience with data science and ML tools in production

    N-iX is a global company with Ukrainian roots that helps businesses worldwide develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in eight countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.


    We are looking for a Golang Developer to join our inventive project. 


    Our Client is one of the leaders in providing widespread access to Machine Learning solutions for companies, leaving an indelible mark on the landscape of AI technology across industries.


    At the heart of this endeavor lies the Client’s groundbreaking product: an enterprise platform designed to facilitate seamless Machine Learning model deployment at scale. 


    As a Golang engineer, you can play a crucial role in developing robust and scalable solutions within an AI-related array of tools that empower organizations to unlock the full potential of Machine Learning in driving business growth and innovation.



    ,[Design, build, and maintain client core platform (enterprise version), Suggest technical and functional improvements to add value to the product, Help enterprises deploy machine learning models using the Client’s platform , Extend the state of the art in the developing area of ML Ops ] Requirements: Golang, Docker, Kubernetes, Cloud Native, Python, Open source, Data science, MLOps Tools: Agile, Scrum. Additionally: Flexible working hours and remote work possibility, Mentoring program, Life insurance, Training budget, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Cafeteria, Modern office, Free coffee, Kitchen, Friendly atmosphere.
Data publikacji: 2024-04-21
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