Über
You will design and build the backend systems powering the Quadrivia clinical AI platform—including high-availability services, event-driven architectures, data pipelines, and the orchestration layers used by our clinical AI agents. This role is deeply hands-on, technical, and foundational to our reliability, safety, and performance. Key Responsibilities
Implement and maintain backend service (not tiny microservices—well-designed domain-driven boundaries). Build scalable systems for supporting customer features and operational platform. Implement resilient, high-throughput data pipelines. Ensure accuracy, safety, and compliance in all system interactions with clinical data. Own reliability: observability, fallback strategies. Collaborate closely with AI, Clinical, QA, and Security teams. Write clean, test-driven, maintainable code. Validate and own all AI-generated code contributions. Required Experience
Healthcare related experience working under SOC2/ISO27001, HIPAA/GDPR, or medical device regulatory requirements. 10+ years in backend engineering with high-scale distributed systems. Expert in Python, FastAPI, async systems, and event-driven architectures. Strong knowledge of object and relational database, caching, message stream, message queues. Engineering standards: DDD, CQRS, Design Patterns, SOLIP Principles, DRY, KISS, TDD. Cloud & DevOps literacy: GCP, Kubernetes, Docker, Terraform. Deep understanding of resilient systems, fault tolerance, and high availability. Excellent communicator—clear, structured, concise, preferably following S.T.A.R/S.A.R or related. Culture fit: kind, exceptionally smart, mission-driven, field expert. Nice to Have
Knowledge of Hexagonal Architecture, CQRS. Experience with ML Ops, RAG, LLM workflows, voice agents, STT/TTS diarization. Exposure to telephony/VoIP infrastructure. What Success Looks Like
Quadrivia's backend systems become a global reference for reliability, safety, and performance. Your services operate with >99.99% availability under strict regulatory constraints. Engineers can build new clinical workflows and agent capabilities rapidly and safely. AI-generated code is consistently elevated, corrected, and owned by you.
Sprachkenntnisse
- English
Hinweis für Nutzer
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