Backend Engineer, AI Systems at Kindly AS
Oslo, Oslo, Norway -
Full Time


Start Date

Immediate

Expiry Date

10 Aug, 25

Salary

0.0

Posted On

10 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kubernetes, Design, Elasticsearch, It, Docker, Stocks, Workshops, Aws, Features, Ml, New Opportunities

Industry

Information Technology/IT

Description

We’re thrilled that you’re considering a career at Kindly! Here’s everything you need to know about this job.

IT’S A BONUS IF YOU HAVE EXPERIENCE WITH:

  • DevOps
  • ElasticSearch
  • Kubernetes and Docker
  • CI/CD automation and linting
  • Terraform with a public cloud like GCP or AWS
  • High-level knowledge of AI and ML

WHAT WE OFFER THAT MIGHT BE MORE NORMAL, BUT GOOD TO KNOW:

  • 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)
    More to tell, but let’s do that if you find this interesting.
    Department
    Product
    Locations
    Oslo
    Remote status
    Hybri

As a Backend Engineer with ML experience on the Product team, your job will be to:

  • Continuously improve the platform while looking out for new opportunities.
  • Be responsible for all the stages of the feature development cycle
  • Discuss ideas, design, and take part in workshops
  • Coordinate with other teams to deliver features of high complexity
  • Release features to millions of users
  • Talk directly to customers (if you are comfortable with that
Responsibilities

As a Backend Engineer with ML experience on the Product team, your job will be to:

  • Continuously improve the platform while looking out for new opportunities.
  • Be responsible for all the stages of the feature development cycle
  • Discuss ideas, design, and take part in workshops
  • Coordinate with other teams to deliver features of high complexity
  • Release features to millions of users
  • Talk directly to customers (if you are comfortable with that)
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