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Sista ansökningsdag 2026-11-25

Platform Engineer - Cloud, Automation & AI

Tobii ABVanlig anställningPublicerad 2026-05-29

Tobii is the global leader in eye tracking and a pioneer in attention computing. For more than 20 years, we have built technology that helps understand human attention and intent. Our technology is used by companies, universities, and research institutes around the world across areas such as gaming, XR, assistive tech, research, and automotive. Headquartered in Stockholm, Sweden, Tobii has offices across Europe, North America, and Asia, and is listed on Nasdaq Stockholm (TOBII). We are now looking for a software engineer to join our team in Stockholm. This is an exciting and broad role where you will build stable and scalable cloud platforms for our engineering teams and products. The Opportunity As a Platform Engineer at Tobii, you will develop and operate the internal platforms and infrastructure that support our engineering organization. You will help create scalable, reliable, and easy-to-use development environments that enable teams to move faster with less operational complexity. A key part of the role is supporting large-scale compute and workloads. We operate infrastructure that handles hundreds of concurrent builds and distributed workloads, where scalability, reliability, and cost efficiency are critical. We think about internal platforms as products, with a strong focus on developer experience, usability, adoption, and continuous improvement. Your mission Build and improve internal platforms, automation, and developer workflows across cloud environments Explore and implement AI-assisted engineering workflows and platform capabilities Improve scalability, reliability, and cost efficiency in distributed compute environments Collaborate closely with product engineering teams and operations to solve platform and infrastructure challenges We hope you have Solid experience as a software engineer or platform engineer Experience working with cloud platforms such as Azure, AWS, or GCP Curiosity around AI-driven development workflows and moder

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