Senior Python Developer - Flask/Django Frameworks

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About The Role

We are seeking a highly skilled Python Backend Engineer with a strong background in building scalable backend systems, APIs, and cloud-native applications. The ideal candidate is proficient in FastAPI, AWS cloud services, and database technologies, and has hands-on experience designing event-driven architectures using Amazon SQS. Experience with AI/ML model integration or data-driven applications is a strong plus.This is a remote position with working hours from 2:00 PM to 11:00 PM IST, ideal for professionals who prefer a late-start schedule and remote flexibility.

Key Responsibilities

  • Design, develop, and maintain robust and scalable backend services and RESTful APIs using FastAPI.
  • Build and manage cloud-native applications using AWS services such as Lambda, ECS/EKS, S3, CloudWatch, API Gateway, and IAM.
  • Implement and optimize event-driven architectures with Amazon SQS and related messaging tools.
  • Design and maintain PostgreSQL and MongoDB databases, ensuring performance, scalability, and reliability.
  • Collaborate with Data Science and AI/ML teams to integrate intelligent models into backend systems.
  • Ensure secure API development using OAuth2, JWT, and other modern authentication/authorization methods.
  • Follow best practices in writing clean, testable, and maintainable code.
  • Participate in system architecture planning, performance tuning, and scalability improvements.
  • Engage in code reviews, mentorship, and knowledge-sharing within the engineering team.

Required Skills & Experience

  • 5+ years of professional experience in Python backend development.
  • Strong expertise in FastAPI, or Flask/Django with willingness and experience transitioning to FastAPI.
  • Deep understanding of cloud infrastructure and services in the AWS ecosystem.
  • Proven experience with Amazon SQS and other messaging/queueing tools.
  • Proficiency in working with PostgreSQL and MongoDB databases.
  • Experience integrating AI/ML models or working with data-heavy applications is a plus.
  • Knowledge of secure API practices, including OAuth2, JWT, and role-based access controls.
  • Familiarity with CI/CD, Docker, and container orchestration (Kubernetes/ECS).
  • Strong communication skills and ability to work collaboratively in a remote, cross-functional environment.
(ref:hirist.tech)

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