6 - 10 years

10 - 20 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Expert Python Developer

Key Responsibilities

Core Development

  • Design, develop, and maintain

    high-quality, scalable Python applications

  • Write

    clean, reusable, testable, and performance-optimized code

  • Architect solutions for

    high availability, fault tolerance, and scalability

  • Lead complex feature development end-to-end (design build deploy)

Architecture & Design

  • Drive

    system design

    , API contracts, and application architecture
  • Perform

    code reviews

    and enforce best practices
  • Optimize performance, memory usage, and concurrency
  • Refactor legacy systems into modern, modular architectures

Data & Integration

  • Build and consume

    REST / GraphQL APIs

  • Work with

    relational and NoSQL databases

  • Handle large-scale data processing using Python frameworks
  • Integrate third-party systems and services securely

Cloud & DevOps

  • Develop and deploy applications on

    cloud platforms

    (Azure / AWS / GCP)
  • Build

    containerized applications

    using Docker and Kubernetes
  • Implement CI/CD pipelines and automation
  • Monitor applications using logging, tracing, and observability tools

Leadership & Collaboration

  • Mentor junior and mid-level developers
  • Collaborate with product managers, architects, and DevOps teams
  • Participate in technical decision-making and roadmap planning

Required Technical Skills

Python (Expert Level)

  • Deep knowledge of

    Python internals

    , OOP, functional programming
  • Advanced usage of:
    • Async programming (asyncio, threading, multiprocessing)
    • Exception handling & memory management
    • Design patterns and SOLID principles

Frameworks & Libraries

  • Backend frameworks

    : FastAPI, Flask, Django
  • Data processing

    : Pandas, NumPy, PySpark (preferred)
  • Testing

    : PyTest, unittest, mocking frameworks

Databases

  • SQL: PostgreSQL, MySQL, SQL Server
  • NoSQL: MongoDB, Redis, DynamoDB
  • ORM experience (SQLAlchemy, Django ORM)

APIs & Integration

  • RESTful API design (OpenAPI/Swagger)
  • Authentication & security (OAuth2, JWT)
  • Message queues & streaming (Kafka, RabbitMQ)

Cloud & DevOps

  • Azure / AWS / GCP services
  • Docker, Kubernetes
  • CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI)
  • Infrastructure as Code (Terraform preferred)

Mock Interview

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