Project Overview:

Our client is a Swedish bearing and seal manufacturing company that employs 44,000 people in 108 manufacturing units. It has the largest industrial distributor network in the industry, with 17,000 distributor locations encompassing 130 countries. This company is one of the largest companies in Sweden and among the largest public companies in the world.

We are looking for a software developer to take part in the development of software infrastructure of a big data platform to support machine learning and analytics, driving the future of industrial predictive analytics.

The Big data organization is responsible for the data infrastructure and backend services of the customer platform, which provides an AI-Driven Industrial Intelligence solution. Client's solution uses advanced Artificial Intelligence to provide asset failure predictions based on monitoring sensors’ signal data in the cloud.
With its proprietary adaptive algorithms, the solution can analyze sensor behavior, automatically learn how machines behave, and use this learning to predict machine failures before they occur.

Today we are about 65 people in 8 scrum teams, located in Sweden, Israel, Eastern Europe, US and India
The specialist is expected to follow the European timezone. You will work within an agile team, developing and maintaining a dynamic data pipeline system that is critical for cross-company operations Infrastructure design, server and client-side planning, and development at High load & Scale.

Юлія Пиво
  • Work as part of a global agile team;
  • Develop new high-quality object-oriented software;
  • Maintain and improve the existing codebase;
  • Build reusable code and services for the future use;
  • Develop scalable, distributed, multi processes, multi-threaded code;
  • Collaborate with other developers and product owners.
  • Hands on development experience with Go – 3+ years;
  • Hands on development experience with Typescript and React – 3+ years;
  • Hands on experience with Microservices framework - 2+ years;
  • Experience with cloud deployment (AWS) – 2+ years;
  • Great agile team-player;
  • Excellent English verbal and written communication skills;
  • Relevant university degree.
Nice to have:
  • Experience with containers, e.g. Dockers and Kubernetes;
  • Experience with Java or Python;
  • DevOps experience – bash/Terraform scripting. CI/CD tools;
  • Experience with AWS cloud services (Lambda, EKS, etc).

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