Senior Python Developer

0 years

15 - 25 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company:

Space Inventive

Website:

Visit Website

Business Type:

Small/Medium Business

Company Type:

Product & Service

Business Model:

B2B2C

Funding Stage:

Bootstrapped

Industry:

IT Services

Salary Range:

₹ 15-25 Lacs PA

About the Role

We are looking for a highly skilled

Python Developer

who can design, develop, and maintain scalable backend systems while collaborating closely with ML Engineers to integrate machine learning models into production-ready web applications. The ideal candidate must have strong backend development experience, cloud exposure, and solid understanding of DevOps practices.

Key Responsibilities

  • Design, develop, and maintain web applications using Python.
  • Integrate frontend components with backend APIs built using Python & FastAPI.
  • Gather functional requirements and convert them into technical specifications and test plans.
  • Build software prototypes and proof-of-concept implementations.
  • Provide technical leadership, solving complex programming and design challenges.
  • Work closely with Machine Learning Engineers to integrate ML models seamlessly.
  • Perform DevOps responsibilities, managing the build-to-operate lifecycle of deployed solutions.
  • Contribute to architecture design, scalability planning, and system improvements.

Qualifications

  • Strong experience in Python backend development.
  • Hands-on experience with Python web frameworks such as Django, Flask, or FastAPI.
  • Good understanding of Machine Learning algorithms, techniques, and libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.
  • Working knowledge of AWS services such as S3, Lambda, and other cloud-native components.
  • Experience with cloud platforms (AWS/Azure/GCP) in development, deployment, and monitoring.
  • Strong experience working with relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
  • Familiarity with DevOps tools such as Docker, Kubernetes, Jenkins, CI/CD pipelines, and Git.

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