What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve 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.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. 

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

About the Role

We are looking for a Software Engineer with 1–3 years of experience to join our engineering team. You will help build scalable backend systems and data platforms that process large volumes of industrial data. This is an excellent opportunity to work with modern technologies and grow your skills in distributed systems and cloud engineering.

What You'll Do

• Develop and maintain backend applications and microservices.

• Build and enhance data pipelines using technologies such as Spark, Kafka, or Flink.

• Develop REST APIs and support scalable, high-performance applications.

• Work with large datasets and optimize data processing workflows.

• Write clean, maintainable, and well-tested code.

• Troubleshoot issues, improve application performance, and fix bugs.

• Collaborate with engineers, product managers, and designers to deliver new features.

• Participate in code reviews and follow engineering best practices.

What We're Looking For

• 1–3 years of experience in software engineering or backend development.

• Strong programming skills in Java, Scala, or Python.

• Good understanding of data structures, algorithms, and object-oriented programming.

• Basic knowledge of distributed systems, microservices, and REST APIs.

• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.

• Familiarity with SQL/NoSQL databases and Git.

• Exposure to Spark, Kafka, Flink, or similar technologies is an advantage.

• Strong problem-solving skills, eagerness to learn, and a collaborative mindset.

Nice to Have

• Internship or project experience with distributed systems or data engineering.

• Knowledge of Docker, Kubernetes, or CI/CD pipelines.

• Exposure to monitoring tools and cloud-native applications.

What We Offer

• Opportunity to work on modern cloud and distributed systems.

• Mentorship from experienced engineers and opportunities to learn new technologies.

• A collaborative, fast-paced engineering environment.

• Competitive compensation, benefits, and career growth opportunities.