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Python Developer (DSA + Full Stack) with ML Engineering Focus

Waltcorp
Full Timemid
Nagpur, Maharashtra, INPosted April 16, 2026

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PythonJavaScriptTypeScriptSQLReactVueAngularDjangoFlaskFastAPIAWSGCPAzureDockerKubernetesPostgreSQLMySQLMongoDBGitGitHubAgileScrumCI/CDDevOpsMicroservices

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Job Description

About the Role

We are seeking a highly skilled Python Developer with strong foundations in Data Structures & Algorithms (DSA) and proven experience in Full Stack development . This role requires a problem-solver who can design scalable solutions, write efficient code, and contribute across the stack—from backend APIs to modern web frontends.

Key Responsibilities

  • Design, develop, and maintain scalable web applications using Python and modern frameworks.
  • Apply strong knowledge of DSA to write optimized, clean, and reusable code.
  • Build and consume RESTful APIs, and integrate with third-party services.
  • Work with frontend technologies (React/Angular/Vue, JavaScript/TypeScript) for end-to-end feature delivery.
  • Manage relational and non-relational databases (MySQL, PostgreSQL, MongoDB, etc.).
  • Collaborate with cross-functional teams (designers, product managers, DevOps) in an Agile environment.
  • Conduct code reviews, write unit tests, and ensure application performance and security.

Required Skills & Qualifications

  • Strong proficiency in Python and object-oriented programming .
  • Solid understanding of Data Structures, Algorithms, and Problem-Solving .
  • Experience with at least one Python web framework (Django, Flask, or FastAPI).
  • Hands-on experience with frontend frameworks (React.js preferred).
  • Database management skills (SQL and NoSQL).
  • Familiarity with version control (Git/GitHub) and CI/CD pipelines.
  • Strong debugging, optimization, and analytical skills.

Preferred Qualifications

  • Experience in building microservices and distributed systems.
  • Exposure to cloud platforms (AWS, GCP, or Azure).
  • Knowledge of containerization tools (Docker, Kubernetes).
  • Previous work in an Agile/Scrum environment.

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