Python Developer

3 weeks ago

Bengaluru, India Princeton America Full time

Job Title: 
Python Lead

Experience: 7–10 Years

Location: Bangalore

Mode: In-office (Mandatory in-person client interview)

Notice Period: Immediate Joiners Only

Job Summary:

We are looking for an experienced Python Lead with strong expertise in Python, FastAPI/Flask, and data engineering frameworks. The ideal candidate will lead development efforts, design scalable solutions, and collaborate closely with clients to deliver high-quality applications.

Key Responsibilities:

  • Lead and mentor a team of developers in Python-based application development.
  • Design, develop, and optimize 
    REST APIs
     and backend services using 
    FastAPI/Flask
    .
  • Work with large datasets leveraging 
    Pandas, NumPy, SQL, and NoSQL databases (MongoDB, Postgres, CRDB)
    .
  • Integrate applications with 
    middleware platforms
     such as 
    Mulesoft
     or 
    BizTalk
    .
  • Apply best practices in 
    OOP, design patterns, and CI/CD pipeline implementations
    .
  • Collaborate with clients during in-person technical discussions and solutioning sessions.
  • Ensure system scalability, performance, and security across deployments.

Key Requirements:

  • 7–10 years of professional experience in 
    Python development
    .
  • Strong hands-on experience with 
    FastAPI/Flask, Pandas, NumPy
    .
  • Proven expertise with 
    SQL/NoSQL databases (MongoDB, Postgres, CockroachDB)
    .
  • Solid understanding of 
    REST APIs, middleware integration (MuleSoft/BizTalk), CI/CD pipelines, OOP, and design patterns
    .
  • Strong problem-solving and debugging skills.
  • Excellent communication and leadership capabilities.
  • Mandatory 
    in-person client interview
     process.
  • Immediate joiners only.

Good to Have:

  • Exposure to 
    Azure Cloud
     services.
  • Experience with 
    Big Data technologies
     (Hadoop, ADLS).
  • Knowledge of 
    messaging queues
     like 
    Kafka or RabbitMQ
    .
  • Hands-on with 
    containerization and orchestration (Docker, Kubernetes)
    .
  • Familiarity with 
    AI tools (GitHub Copilot, ChatGPT, or similar)
     for productivity.

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