Senior .NET Platform Engineer - Remote Knowledge Graph

cerebre

Warszawa

Remote

PLN 260,000 - 380,000

Full time

14 days+

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Job summary

Cerebre is hiring a senior .NET Software Engineer to advance a platform that builds the largest knowledge graph in the industrial world. You will collaborate with world-class engineers and top clients to solve complex problems with creative solutions.

Join a 100% remote team that values flexible thinking, high impact, and continuous learning as we redefine data for critical industrial operations.

Qualifications

  • Minimum of 7 years of professional software development experience with expert-level .NET skills.
  • Experience with Agile methodologies, preferably Kanban.
  • Familiarity with Azure Cloud and/or AWS.
  • Experience with graph databases (e.g., RedisGraph, Neo4j, MemGraph, FalkorDB).
  • Strong architectural vision for product development.
  • Ability to write clean code following modern programming standards.
  • A problem-solving mindset with a knack for designing unique solutions.
  • Desire to learn and continuously improve.
  • Proficiency in English at a minimum B2 level.

Responsibilities

  • Take the platform to the next level as part of a team building the largest knowledge graph in the industrial world.
  • Collaborate day-to-day with world-class engineers and market-leading clients.
  • Solve challenging technical problems with creative freedom.
  • Engage in the full spectrum of product development from design to implementation to delivery.

Skills

C#/.NET
Agile Kanban
Azure/AWS
Graph databases
Clean code
English (B2)
GitLab CI/CD
Data modeling
NoSQL databases
TypeScript
React frontend

Tools

GitLab CI/CD

Job description

Cerebre is hiring a senior .NET Software Engineer to advance a platform that builds the largest knowledge graph in the industrial world. You will collaborate with world-class engineers and top clients to solve complex problems with creative solutions.

Join a 100% remote team that values flexible thinking, high impact, and continuous learning as we redefine data for critical industrial operations.

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