Nym
Nym
Nym кірістер айналымын басқару үдерісінде медициналық кодтауды автоматтандыратын денсаулық сақтау бағдарламалық жасақтамасын әзірлейді. Оның автономды кодтау жүйесі пациент карталарындағы клиникалық тілді түсіндіріп, медициналық төлем кодтарын бірнеше секунд ішінде тағайындайды. Бұл денсаулық сақтау ұйымдарына кодтаудың бірізділігін жақсартып, кодтауға жұмсалатын уақыт пен әкімшілік шығындарды азайтуға көмектеседі. Осы жұмысты автоматты түрде орындау арқылы Nym клиникалық және әкімшілік топтарға пациенттерге көрсетілетін күтімге көбірек көңіл бөлуге мүмкіндік береді.

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.

Сипаттама

  • 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.

Талаптар

  • 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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