Python Backend development leader – Healthcare Tech

Remote, Boston, MA · Job # 9026RK

Job Overview:

Lead Engineering collaboration with Data Scientists and Business leaders to drive Healthcare innovations, utilizing AI, ML and Data-driven platforms!   


Key Responsibilities:

  • Lead, train and mentor a small team of engineers to design, develop, and deliver backend NLP Platform applications, scalable document processing pipelines using Python, Kubernetes, NoSQL database, Redis, Azure Service Bus on Azure Cloud with microservices architecture
  • Lead development of API-based system-to-system synchronous and asynchronous integrations to integrate Medical Claims Management, and Pharmacy with NLP document processing pipelines
  • Wrap machine learning models created by data scientists as microservices to integrate into NLP pipelines
  • Partner with the product owners to understand the problem to be solved, explore solutions options, and identify the optimal solution. Collaborate with the product owner to scope and breakdown the solution into meaningful product backlog for development
  • Oversee the technical design, implementation plans, code, CI/CD automated tests, and documentation 
  • Approve pull requests, perform peer code reviews, and peer testing/QA for product owner acceptance
  • Co-own technology roadmap, prioritized technical debt, and maintain high-level design documents with peer leads
  • Collaborate and work in a fast-paced agile environment, closely interacting with business stakeholders and exceptionally talented software engineers, machine learning scientists, data engineers, and data scientists 

Experience You Bring to the Team: 

  • 5+ years of enterprise software development experience, with significant server-side Python experience using microservices and serverless architecture
  • Data modeling and database development experience with any one of SQL Server, Oracle, MySQL, PostgreSQL, Cassandra, RedShift, or MongoDB
  • Experience with backend synchronous and asynchronous API development experience for system-to-system integrations
  • Experience deploying server-side backend applications on Kubernetes clusters in Azure or AWS, or GCP cloud 
  • Solid knowledge of data structures, algorithms, and design patterns 
  • Willingness and Desire to learn modern technologies, collaborate with Data Science team and understand unfamiliar data domains and new business processes  
  • Bachelor’s Degree or Master’s degree in computer science or engineering

Desirable Experience Skills and Qualifications:

  • Experience in data engineering, ETL, and data analytics
  • Experience in health care or financial services industry handling PHI/PII/PFI data 
  • Open-source contributions and portfolio of shipped code at GitHub 
  • Prior experience designing and building NLP APIs and services for unstructured data processing 


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