Cognite
This role involves designing, building, and operating the core serverless execution engine and workflow orchestration layer to support industrial AI and automation capabilities. The engineer is responsible for ensuring platform reliability, scalability, and performance while defining clean API-first architectures and implementing robust observability and CI/CD practices. The position requires deep expertise in JVM languages, Python, distributed systems, and cloud-native service design to drive operational improvements and cost efficiency.
Headquarters
Tempe, Arizona, United States
Company Size
501-1000 employees
Founded
2016
Cognite is an industrial software company that helps heavy-asset industries deploy and scale industrial AI and digital transformation. Its Cognite Data Fusion platform unifies and contextualizes operational (OT/IT/engineering) data, exposing trustworthy, modeled data via APIs, SDKs, and developer tools for analytics, digital twins, and applications. Energy, manufacturing, utilities and other industrial companies use Cognite to boost productivity, safety, and asset performance through faster analytics, predictive maintenance, and automated workflows. The cloud-native platform is built for rapid deployment and industrial-scale AI rollouts across complex operations.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Cognite.
Cognite didn’t post a salary, so this is our estimate from similar listings.
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