Lead Python Developer (6+ Years Experience)

6 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Type

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Job Description

Job Title: Lead Python Developer (6+ Years Experience)

Company:

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Employment Type:

 

 

About Nature Technologies

Nature Technologies

Lead Python Developer

 

 

Key Responsibilities

  • Lead the architecture, design, and development of scalable Python-based applications and APIs.
  • Collaborate with Product Managers, Architects, and cross-functional teams to define and deliver project roadmaps.
  • Mentor and guide the Python development team through code reviews, design discussions, and best practices.
  • Ensure system reliability, performance optimization, and secure coding standards.
  • Oversee database design, API integrations, and deployment of microservices-based architectures.
  • Stay updated on emerging technologies and suggest ways to integrate them into ongoing projects.
  • Manage sprints, allocate tasks, and ensure timely project delivery following Agile methodologies.


Required Skills & Experience

  • 6+ years

    of hands-on experience in Python development, with at least 1

    + years in a lead or senior role.

  • Strong expertise in

    FastAPI, Django, or Flask

    frameworks.
  • Proven experience in designing and deploying

    RESTful APIs

    and

    microservices architecture.

  • Proficiency with

    Docker

    ,

    CI/CD pipelines

    , and

    cloud platforms

    (AWS/Azure/GCP).
  • Strong knowledge of

    PostgreSQL

    ,

    MongoDB

    , or

    MySQL

    .
  • Proficient in

    Git/GitHub

    , Agile practices, and sprint/task management tools (Jira/Trello).
  • Solid understanding of

    software design patterns

    ,

    testing frameworks

    , and

    code optimization techniques.

 

Nice to Have

  • Experience managing Python projects using

    UV

    or similar tools.
  • Knowledge of

    Kubernetes

    ,

    DevOps pipelines

    , or

    cloud-native deployments.

  • Exposure to

    AI/ML

    ,

    data engineering

    , or

    automation frameworks.

  • Understanding of

    frontend technologies

    for end-to-end product collaboration.


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