Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Experience: 5 Years

Notice Period: Immediate Joiner

Location: Pune


Job Summary

Senior Python Backend Engineer


Primary Skills:

  • Programming:

    Strong proficiency in

    Python

  • Frameworks:

    FastAPI

    ,

    Flask

    ,

    Django

  • Architecture:

    Distributed Systems

    ,

    Microservices

    ,

    Asynchronous Programming (Celery)

  • Databases:

    PostgreSQL

    ,

    MySQL

    , Data Contracts, Idempotency
  • Event Streaming:

    Kafka

    (or equivalent)
  • Testing:

    PyTest

    ,

    Hypothesis

    ,

    Locust

    ,

    TDD

  • DevOps & Cloud:

    Kubernetes

    ,

    Docker

    ,

    CI/CD Pipelines

    ,

    AWS/Azure/GCP


Secondary Skills

  • Security:

    OAuth2

    ,

    TLS

    , Secure Communication
  • Compliance:

    HITRUST

    ,

    HIPAA

    ,

    FDA 510(k)

    Standards
  • Healthcare Standards:

    HL7

    ,

    FHIR

    – message parsing, secure data exchange
  • Observability:

    Metrics, Tracing, Logging, Monitoring
  • Mindset:

    Systems Thinking, Automation-first, Collaborative and Pragmatic Approach
  • Documentation:

    Evidence generation for audits and compliance reports


Preferred Qualifications

  • Experience with

    HL7/FHIR

    in healthcare data systems.
  • Strong

    systems mindset

    , emphasizing automation, monitoring, and reliability.
  • Collaborative and effective across the

    full technology stack

    .


Key Responsibilities

  • Design, develop, and maintain backend systems using

    FastAPI, Flask, or Django

    .
  • Build and manage

    distributed systems

    and

    microservices architectures

    .
  • Implement

    asynchronous workflows

    using tools like

    Celery

    .
  • Manage

    PostgreSQL/MySQL

    databases efficiently with strong data consistency principles.
  • Integrate with

    Kafka

    or similar event-streaming systems.
  • Implement

    automated test architectures

    using

    PyTest, Hypothesis, and Locust

    .
  • Enhance reliability and observability through

    metrics, tracing, and logging

    .
  • Work with

    Kubernetes

    ,

    Docker

    , and

    CI/CD pipelines

    for deployment automation.
  • Operate within

    AWS, Azure, or GCP

    environments.
  • Implement

    OAuth2

    ,

    TLS

    , and secure service communications.
  • Maintain compliance with

    HITRUST, HIPAA, and FDA 510(k)

    standards, including evidence generation.

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