Nym
Nym
Nym izstrādā veselības aprūpes programmatūru, kas automatizē medicīnisko kodēšanu ieņēmumu cikla pārvaldības procesā. Tās autonomais kodēšanas dzinējs interpretē pacientu kartēs ietverto klīnisko valodu un dažu sekunžu laikā piešķir medicīniskos norēķinu kodus. Tas palīdz veselības aprūpes pakalpojumu sniedzējiem uzlabot kodēšanas konsekvenci, vienlaikus samazinot kodēšanai nepieciešamo laiku un administratīvās izmaksas. Automātiski veicot šo darbu, Nym ļauj klīniskajām un administratīvajām komandām vairāk pievērsties pacientu aprūpei.

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.

Apraksts

  • 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.

Prasības

  • 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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