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Univrses is seeking a Senior Backend Developer to design, build and scale the systems behind 3DAI. You will work hands-on with Node.js, TypeScript and AWS to manage geospatial and time-series data across road networks.
You will own features end-to-end, design distributed systems and contribute to code quality through testing and discussions. The role offers a hybrid setup, Stockholm office presence, and international impact.
Univrses is a Swedish technology company specialising in artificial intelligence and computer vision. Founded in 2015, we have spent more than a decade developing technology that turns visual data into actionable intelligence.
Today, our work spans two complementary areas: automotive, and road and public infrastructure. In the latter, our 3DAI™ system uses cameras mounted on everyday vehicles to turn visual data into structured, geo-referenced data and imagery about road conditions and road assets. The system is deployed in 15+ countries and supports road authorities, contractors and infrastructure owners in building a more current and detailed view of their road networks.
As a Senior Backend Developer, you will help design, build and scale the systems behind 3DAI™. The platform stores and processes large volumes of geospatial and time-series data generated as vehicles collect information across road networks. Your work will help ensure that these systems remain reliable, maintainable and ready to scale as 3DAI™ continues to evolve.
You will work hands-on with Node.js, TypeScript and AWS, with substantial ownership from technical design through to production.
You are an experienced backend engineer who enjoys taking ownership of complex technical problems and turning high-level requirements into reliable, maintainable services. You are comfortable reasoning about systems end-to-end and care about the quality of what reaches production.
You work well with others, share knowledge openly and value feedback. You are curious about new tools and engineering practices, including AI-assisted development, and know how to use them without compromising sound technical judgement or code quality.
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If this sounds like your kind of challenge, we'd love to hear from you. All application materials must be in English.