Nym
Nym
Nym स्वास्थ्य सेवा सॉफ़्टवेयर विकसित करता है, जो राजस्व चक्र प्रबंधन प्रक्रिया के भीतर चिकित्सा कोडिंग को स्वचालित बनाता है। इसका स्वायत्त कोडिंग इंजन मरीजों के चार्ट में दर्ज चिकित्सकीय भाषा को समझकर कुछ ही सेकंड में चिकित्सा शुल्क कोड निर्धारित करता है। इससे स्वास्थ्य सेवा प्रदाताओं को कोडिंग में अधिक निरंतरता लाने में मदद मिलती है और कोडिंग से जुड़े समय तथा प्रशासनिक खर्च में कमी आती है। इस कार्य को स्वचालित रूप से संभालकर Nym चिकित्सकीय और प्रशासनिक टीमों को मरीजों की देखभाल पर अधिक ध्यान देने में सक्षम बनाता है।

Software Engineer, Data Platform

Build AWS data pipelines and platform infrastructure for Nym’s healthcare coding engine. Strengthen delivery, observability, reliability, and security for systems handling patient data.

विवरण

  • Develop dependable pipelines to process healthcare data at scale, covering millions of charts annually.
  • Build and run AWS cloud infrastructure managed through code.
  • Lead data modeling, schema management, and database performance work with the DBA.
  • Improve software delivery with CI/CD, environments, observability, and internal tools.
  • Use AI coding assistants in daily work and apply LLMs and agent-based tools to automate data and platform tasks.
  • Protect the security, reliability, and compliance of systems that handle sensitive patient information.
  • Work with R&D, ML, and Product to turn requirements into scalable data and platform solutions.

आवश्यकताएँ

  • Bring at least five years of professional software engineering experience, including substantial backend, data, or platform work.
  • Demonstrate strong Python skills.
  • Have proven experience building and operating data engineering systems, including batch or streaming pipelines, ETL/ELT, and workflow orchestration.
  • Be proficient in SQL and relational databases such as PostgreSQL, including data modeling and query optimization.
  • Bring practical experience with AWS.
  • Have experience building and maintaining CI/CD pipelines.
  • Use AI development tools such as Claude Code, Cursor, or Copilot effectively, and know when their output requires human review.
  • Communicate clearly and work well with colleagues across functions.
  • Be comfortable working across time zones in a global, fast-growing, dynamic environment where requirements may be ambiguous.
  • Be fluent in written and spoken English.

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