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Cognite

Industrial data platform with AI

Senior Software Engineer - Backend, Knowledge Graph

Backend EngineeringUpdated on Nov 14
Full-timeOslo, NorwayNo salary listedIn-person

About the Job

Requirements

  • Significant experience building and operating distributed backend systems in a modern, typed language.
  • Strong proficiency in Kotlin.
  • Deep expertise in modern authentication and authorization concepts, including OIDC, OAuth2, RBAC, and ABAC, and their practical application in building secure services.
  • Hands-on experience with cloud-native technologies, Elasticsearch, and cloud platforms such as GCP, AWS, or Azure.

Responsibilities

  • Architect and build core authentication and authorization services, applying modern security principles to protect customer data.
  • Design and scale resilient gRPC/HTTP APIs and microservices on Kubernetes, ensuring high availability, low latency, and ease of integration for internal teams.
  • Write maintainable code and refine service architecture to support product growth.
  • Lead development initiatives, including threat modeling, performance tuning, and reliability engineering, to harden systems against evolving security challenges.
  • Mentor engineers and collaborate across teams to shape the technical roadmap and foster secure-by-default engineering.

Desired Qualifications

  • Own services in production from initial design and development through deployment, monitoring, and incident response.
  • Bring a collaborative and pragmatic mindset, good communication skills, and a desire to mentor others.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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