Oksana Novak

Recruiter

Oksana Novak

Senior Full Stack Engineer (Python+Reaсt) (1 month assignment)

Binariks is looking for a highly dedicated and skilled Senior Full Stack Engineer (Python + React) to join the project - a real-time medical speech-to-text, translation, and clinical documentation tool for clinical settings.
This role involves a one-month contract (40 hours/week), with the possibility of an extension.

What We’re Looking For:


  • Strong experience with Python with FastAPI (backend) and React (frontend)


  • Hands-on Azure experience, ideally several of: Azure Speech SDK, Azure Cognitive Services, Azure OpenAI, Azure Blob Storage, Azure Translator


  • Experience with real-time audio pipeline experience - streaming live audio into a speech-to-text service, with practical handling of latency, chunking, and dropped/unstable connections (clinical-room conditions)


  • Demonstrated HIPAA and SOC 2 compliance experience, able to own compliance with minimal hand-holding


  • Healthcare/healthtech domain familiarity



Your Responsibilities:


  • Design, develop, and maintain cloud-based solutions in line with architecture standards and business requirements


  • Collaborate with the team to ensure robust, scalable, and maintainable solutions


  • Participate in system design, deployment, and releases, ensuring compliance with security and regulatory standards


  • Identify and resolve performance and functionality issues, ensuring system reliability and data integrity


  • Write clean, testable code and participate in debugging and optimization


  • Collaborate with the team to ensure robust, scalable, and maintainable solutions


  • Contribute to improving system performance, scalability, and reliability



Will Be a Plus:


  • FHIR and HL7 experience; EHR integration exposure (aggregators such as Redox or similar, and custom EHR connections)


  • Experience migrating fragmented multi-provider stacks onto a unified cloud (Azure) architecture


  • Familiarity with speaker diarization / WebSocket streaming flows and LLM-based document generation