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Lead Engineer- Python Full Stack

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Hybrid

Lead Engineer- Python Full Stack

Evalueserve

Lead Engineer- Python Full Stack

Skills

Google Cloud PlatformDockerReactDjangoFlaskPythonData ScienceCassandraGitAWSGitHubAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

7 September 2026

What they need


Roles & Responsibilities -

  • As a Python full stack developer, the candidate will participate in the design / development / customization and maintenance of software applications.
  • Build python application and deploying a complete software Stack including backend, and Frontend APIs in FLASK / Django, writing core python APIs for Front-end UI (Angular/ React.js).
  • Build python middleware service layer entire holistic solution.
  • Deployable both on premise and in the cloud for the product development team.
  • Develop backend application on Python RESTful application and deployable as Docker Container on Public Cloud platforms or Hybrid cloud.
  • Architect & build data application in the cloud (AWS, Azure, GCP).
  • Working with the Product Development team, candidate need to write optimize codes on python.

Core Competencies -

  • Experience of developing secured and high-performance web application(s).
  • Must be able to prove you're technically capable with python coding
  • Should be able to solve a programming problem in python using OOPs (Object Oriented Design) concepts.
  • Candidate should have knowledge on Pylint, Swagger, and Flagger.
  • Should have good understanding on REST API concept, fluent in building Python Flask APIs.
  • Experience in building modern web applications using Angular/ React.js for frontend development.
  • Understanding of fundamental design principles behind a scalable application.
  • Good to have knowledge in multiple database technologies RDBMS, NoSQL DB like Cassandra

Required Qualifications

  • Bachelor's/masters degree in computer science, Engineering or equivalent with 4-7 Years of experience in developing software applications.
  • Candidate should have worked on version control using GIT and tools like GitHub.
  • Knowledge of Cloud Technologies like AWS. Azure or Google.
  • Strong unit testing and De-bugging skills.
  • Experience in auto document parsing / segmentation to support downstream data science tasks will be a plus.

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