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Senior Software Engineer

Nucs AI · Remote job

Publicada em 05/09/2026

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About Nucs AINucs AI is revolutionizing prostate cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we're tackling one of medicine's most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.Our mission is to enhance diagnostic precision and expand access to expert-level prostate cancer screening, ultimately improving patient outcomes worldwide.The OpportunityJoin our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows.You'll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure.What You'll BuildScalable microservices architectures using Kubernetes for orchestration and deploymentEvent-driven systems with RabbitMQ for reliable asynchronous processing of medical dataRobust FastAPI backends that process and serve medical imaging data at scaleProduction-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilitiesScalable data architectures using SQL databases with smart indexing and caching strategiesMonitoring, logging, and alerting systems that ensure reliability in clinical environmentsSeamless integrations between internal services and external healthcare systems (HL7, FHIR)Modern React frontends for clinical workflows and data managementWhat You Bring3+ years of full-stack engineering experience with shipped products that real users depend onStrong system design skills with experience architecting distributed systems and microservicesDevOps expe
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