Cloud Platform Engineer
2 weeks ago
Are you passionate about building the world's most loved chatbots? Do you want to be part of a team that is pushing the boundaries of technology? Then join us at Kindly Sweden as a Backend & Machine Learning Engineer.
About Our TeamWe are a team of passionate engineers who are dedicated to developing and improving our platform. We are looking for someone who shares our passion for innovation and collaboration.
We believe in giving our engineers the freedom to work across the whole stack and to take ownership of their projects. We also believe in providing our engineers with the resources they need to succeed, including access to the latest technologies and tools.
Job ResponsibilitiesAs a Backend & Machine Learning Engineer, your primary responsibility will be to develop and improve our platform. This will involve researching new technologies, identifying areas for improvement, and implementing changes that drive business value.
You will also be responsible for coordinating with other teams to deliver features of high complexity and releasing them to thousands of users. Your input on the areas you wish to focus on matters, and you will have the freedom to work across the whole stack.
Requirements- 3+ years experience with backend development.
- Experience with Python and Django; Nodejs or Elixir is a plus.
- Experience with Postgresql, MongoDB, or other SQL/NoSQL databases.
- Commitment to the craft and the collaboration involved. Peer reviewing, and writing robust, reusable, and testable code.
- Understanding of scalability and performance.
- Ability to lead or self-organize a project through the entire feature development life cycle.
- Option to buy stocks at a discount.
- Modern offices near Oslo Central Station.
- All devs and designers are located in Oslo (no remote devs).
- Social stuff (parties, morning sauna, Friday beers, ping pong table, good vibes).
- Flexible work hours and location.
- 2-day bi-monthly Hackathon during work hours.
- Personal development hours during work hours (10 hours /month).
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