Python Developer

4 days ago

Hyderabad, Telangana, India Innovatz Global Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role

We are seeking an experienced
Python Developer
with at least 5 years of hands-on experience to design, develop, and maintain high-quality applications. The ideal candidate should be proficient in Python frameworks, REST APIs, databases, and modern development practices while writing clean, scalable, and efficient code.

Key Responsibilities

  • Design, develop, and maintain
    Python-based applications
    and backend services.
  • Build and consume
    RESTful APIs
    and integrate third-party services.
  • Work with frameworks such as
    Django / Flask / FastAPI
    to deliver scalable solutions.
  • Develop and optimize database schemas with
    PostgreSQL, MySQL, or MongoDB
    .
  • Write clean, modular, and reusable code following coding best practices.
  • Collaborate with cross-functional teams (frontend, DevOps, product managers).
  • Implement unit tests and participate in
    code reviews
    .
  • Troubleshoot, debug, and upgrade existing systems.
  • Ensure application
    security, performance, and scalability
    .
  • Stay updated with emerging Python libraries and best practices.

Required Skills & Qualifications

  • Bachelor's degree in
    Computer Science, IT, or related field
    .
  • 5+ years
    of professional Python development experience.
  • Strong understanding of
    OOP, design patterns, and algorithms
    .
  • Expertise in at least one framework:
    Django, Flask, or FastAPI
    .
  • Solid experience with
    SQL & NoSQL databases
    (PostgreSQL, MySQL, MongoDB).
  • Proficiency in
    Git/GitHub
    for version control.
  • Experience with
    API design and integrations
    .
  • Familiarity with
    JavaScript, HTML, CSS
    for backend–frontend integration.
  • Strong debugging, problem-solving, and analytical skills.

Preferred Skills (Good to Have)

  • Experience with
    cloud platforms
    (AWS, Azure, or GCP).
  • Knowledge of
    Docker / Kubernetes
    for containerized deployments.
  • Exposure to
    CI/CD pipelines
    and DevOps practices.
  • Experience with
    unit testing frameworks
    (pytest, unittest).
  • Familiarity with
    machine learning libraries
    (NumPy, Pandas, TensorFlow) is a plus.

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