Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

We believe in autonomous teams with developers, product managers and technical program managers working closely together. You'll work with skilled engineers on the platform powering Cognite’s Industrial Knowledge Graph and long term storage services, using the latest technologies and iterating quickly with developers and end users for better product experiences.

The Impact you bring to Cognite

• Develop and maintain cutting edge features for Cognite Data Fusion (CDF)
• Scale CDF, make architectural trade-offs, applying synchronous and asynchronous design patterns
• Produce high-quality and secure software that is comprehensively tested, code reviewed and checked in regularly for continuous integration
• Shape our product’s direction by working closely with teams across engineering, product, and customer success
• Continuously monitor and improve the performance, reliability, and security of our services
• Proactively fix vulnerabilities, streamline code, and reduce technical debt
• Keep our documentation clear, current and genuinely helpful

Required Qualifications

• 6+ years of hands-on experience developing software with modern programming languages (e.g., Kotlin, Java)
• Experience in a SaaS product environment preferably with large-scale cloud deployments (AWS, GCP, or Azure) and Kubernetes
• Experience in designing, building and maintaining infrastructure and web-services at large scale
• Expert knowledge of computer science with strong competencies in data structures, algorithms and software design
• Good understanding of information retrieval technology, such as Elasticsearch
• Experience leveraging AI-powered tools to augment the development process and accelerate value delivery
• Strong problem-solving skills, technical troubleshooting and diagnosing complex system issues to ensure optimal performance and minimal downtime
• A collaborative and pragmatic mindset, with good communication skills and a desire to mentor others

Preferred Experience

• Hands-on experience deploying, configuring, and managing the Elastic Stack on Kubernetes.
• Search, analytics, Lucene