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Senior software engineer - backend

Madrid
Indefinido
Quadrivia AI
Publicada el 18 diciembre
Descripción

Senior Software Engineer - Backend | Quadrivia AI
About Us Quadrivia is the health technology company behind Qu, a comprehensive, controllable, and customizable assistant AI built by clinicians, for clinicians. Addressing the urgent shortage of healthcare professionals, Qu provides real-time, personal, and reliable support for clinical tasks across the care continuum. Designed for providers, payers, and pharmaceutical companies, Qu is easy to customize and integrates seamlessly into workflows, delivering precise assistance across the care spectrum.
The Role 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 (see pages 15–20 on orchestrator and knowledge base). 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 pipelinessa.
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.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Health and Human Services

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