Python Developer – Python + MongoDB

6 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About the Role

Core Python Developer

Intelligence Kernel


Key Responsibilities

Backend Development (Primary)

  • Develop backend services and REST APIs using

    Python.

  • Design MongoDB schemas, indexes, aggregation pipelines, and optimize query performance.
  • Implement background workers, task queues, and scalable data flows.
  • Integrate with AI/LLM outputs (transcription, Smart Scan, clinical reasoning).
  • Ensure system reliability, security, role-based access, and detailed audit logging.
  • Handle complex healthcare workflows involving EMR, orders, labs, and billing modules.

Data & Platform Integration

  • Convert unstructured model output into validated, structured clinical data.
  • Build interfaces between backend, AI engines, and external systems (HIS/LIS/EMR).
  • Implement fallbacks, confidence scoring, and error-handling mechanisms.
  • Work closely with DevOps, QA, and frontend teams to deliver production-ready modules.


Required Skills

  • Python (4–6 years)

    , FastAPI/Flask, microservices, REST API development
  • MongoDB (strong hands-on expertise)

  • Schema design
  • Aggregation pipelines
  • Performance optimization
  • Indexing strategy
  • Experience building scalable backend systems
  • Strong understanding of authentication, RBAC, logging, and integrations
  • Familiarity with Git and CI/CD
  • Strong debugging and problem-solving skills


Bonus Skills

  • Healthcare domain experience (EMR, LIS, HIS)
  • Familiarity with OCR/LLM/NLP pipelines
  • Cloud exposure (Azure/AWS)


Soft Skills

  • High ownership attitude
  • Ability to work independently and collaboratively
  • Strong communication and documentation habits
  • Comfortable working in a fast-paced, product-driven environment


Why Join HealthSigns?

  • Work on mission-critical healthcare systems used in India, US, UAE, and LATAM
  • Build backend services that directly integrate with AI engines
  • High-growth, high-learning engineering environment
  • Flexible

    Remote/Hybrid Kochi

    working model


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