Full Stack Developer // CANDIS

Juni 7, 2019

ABOUT THE ROLE

  • Collaborate with product owners, designers, developers and ML engineers to create a best-in-class experience for our customers
  • Traditional boundaries of Frontend and Backend don’t exist at CANDIS – we transcend these outdated structures to deliver outstanding, maintainable, and scalable features and services
  • Think in terms of components and systems while considering a holistic user experience
  • As a mid-level/ senior developer you are both an expert coder and ideally a mentor to more junior team members.

YOU MUST HAVE

  • Strong experience as a full stack developer/ software engineer, working on the front end and back end of applications (70/30 split towards frontend is still applicable)
  • Proven track record of delivering scalable and reliable software
  • You can tell us about architectural patterns of cloud-native applications (well-designed APIs, data-streaming approaches…)
  • You have an interest in constantly learning how we can improve on building better, more scalable and maintainable solutions. In a word: you’re driven to build quality software.

WHO WE’RE LOOKING FOR

  • You can put yourself in the shoes of our users and your teammates
  • You have a learning mindset and embrace the opportunity to learn from your work and teammates. Of course you’re happy to share your experience and knowledge with other engineers.
  • You are open-minded and embrace the fact that building software is a team effort
  • You have experience scaling data-intensive applications with high availability
  • You have a passion for writing clean and readable code
  • You are critically aware of how your technical choices affect the success of the company
  • You are pragmatic about shipping code on time but you also realize when it’s necessary for work to take its time

A FEW PROJECTS WE WORK ON

  • Modularizing our main product to enable us to scale into international markets and offer our users the product they need
  • We’re always looking at emerging technologies that could help our users save time and enable new real time workflows
  • Improving the quality of our data extraction pipelines using machine learning and other approaches while maintaining a high level of accuracy
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