How you’ll demonstrate Ownership

Our Product team is at the core of developing Cognite Data Fusion® into a robust and scalable platform for solving critical industrial data problems. This work is central to transforming asset-intensive industries – making them safer, more sustainable, and more profitable. Cognite Data Fusion® makes operational data available at scale, adding immense value through advanced data processing. This empowers industries to make truly data-driven decisions. Our platform leverages many different technologies, each chosen for its ability to solve specific challenges effectively.

To build the best possible product, we believe in autonomous teams where developers, designers, and product managers work closely together. Our teams are focused on building the next-generation industrial data platform and applications across diverse industries like Oil & Gas, Manufacturing, and Power & Utility. This includes enabling all types of workflows, from advanced analytics to assisting in critical decision-making. We're a strong mix of engineers, product managers, and designers, united by a deep commitment to user experience and creating products users genuinely want to use.

Our work environment is exciting, dynamic, and intense. You'll collaborate with top-tier domain and industry experts: designers, product managers, backend developers, ML engineers, 3D developers, and business leaders. We support one another, ask incisive questions, and give constructive feedback. Our goal is to leverage our diverse strengths and backgrounds to build innovative products, think outside the ordinary, and nurture a truly great culture.

The Impact you bring to Cognite

A typical day as a Full Stack Engineer working at Cognite will contain the following tasks & responsibilities

• Work with a wide range of systems, processes, and technologies and own and solve problems end-to-end.
• Collaborate in a fast-paced environment involving different stakeholders and subject matter experts.
• Using your Fullstack development skills to build tools that extract key information from documents and connect data, such that users can make the most of their industrial data
• Design and implement elegant APIs, user experiences, and the underlying infrastructure that leverage smart algorithms and AI
• Participate in discussions around technical direction and product improvements.
• Work closely with our skilled users to understand their needs and build products to help them succeed.

We believe most of these should match your experience

• You have 2-5 years of fullstack software engineering experience.
• You write well-structured, efficient, and maintainable code and actively keep the quality of the codebase in check.
• You can learn new coding languages and use the language that best fits the purpose. In particular, you have hands-on experience with Python and any Python backend framework (FastAPI, Flask, Django). Previous experience writing code in Kotlin is a plus.
• You have front-end experience in frameworks like React, Angular, Vue, or something similar and a solid grasp of JavaScript and enjoy the benefits of TypeScript.
• You have experience with some of the following: Google Cloud Platform services, Azure, and/or AWS. Experience with cloud infrastructure, Kubernetes, Docker, and other related technologies
• You have experience with distributed open-source software such as Kubernetes, Kafka, PostgreSQL, Elasticsearch, and similar
• You have a passion for emerging web technologies
• You have experience with prompt engineering and integrating with large language models through e.g. langchain, fabric
• You are pragmatic about unit testing, integration testing, and E2E testing.
• You have a bachelor's degree or more in Computer Science, Computer Engineering, or similar, or equivalent experience.

A snapshot of our many perks and benefits as a Cogniter

• Competitive compensation
• 401(k) with employer matching
• Competitive health, dental, vision & disability coverages for employees and all dependents
• Unlimited PTO
• Paid Parental Leave Program
• Employee Referral Program