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Cognite is a leader in industrial digitalization, building AI and data solutions for the world's most complex industrial challenges. The company operates at the intersection of industrial heritage, AI capabilities, and cloud-native data platforms, with an ambitious moonshot to unlock $100B in customer value by 2035.
You will join the engineering team to design and build scalable backend systems and data platforms that process massive volumes of industrial data. This is a hands-on role focused on distributed systems, data processing, cloud infrastructure, and backend services.
Key responsibilities include:
- Design, develop, and maintain scalable backend services and microservices supporting high-volume industrial data workloads
- Build and improve distributed data pipelines using Apache Spark, Kafka, Flink, and similar technologies
- Develop reliable, high-performance APIs and backend services with emphasis on scalability, availability, and maintainability
- Work with large datasets to optimize data processing, storage, and retrieval workflows
- Contribute to system design and architecture discussions around scalability and reliability
- Troubleshoot production issues, identify root causes, and implement long-term solutions
- Write clean, maintainable, well-tested code and participate actively in code reviews
- Collaborate with Product Managers, Engineers, and cross-functional teams
You will play a key role in building the backend and data infrastructure powering Cognite's industrial data platform, directly contributing to making large-scale industrial data more accessible, reliable, and performant for global customers. You'll tackle challenging distributed systems problems and contribute to a highly scalable cloud-native platform.
