Fullstack Python Engineer

5 days ago

Pune, Maharashtra, India Orcapod Consulting Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities

  • Develop lightweight Python-based accelerators, validators, and utility components supporting automation validation and edge-case testing.
  • Build diagnostic tools and reference implementations for integration scenarios (e.g., document parsing, API response emulation) to aid feasibility validation.
  • Create reusable code snippets and utility libraries for functions not available in standard RPA/AI platforms, ensuring modular and well-documented handovers.
  • Support internal teams in troubleshooting technical blockers and provide fallback logic or alternative solutions.
  • Develop Python modules for validation, diagnostics, and data transformation, such as document parsing pipelines, mock API responders, and data preprocessing utilities.
  • Work on No Code / Low Code platforms for agentic or automation-based development as required.
  • Maintain an internal repository of vetted Python tools for preprocessing (tabular extraction, NLP tokenization, batch transformations).
  • Review Python-based components delivered by System Integrators (SI) for adherence to internal coding standards, logging, and modularity.
  • Contribute to post-deployment enhancements, including retry logic optimization, timeout handling, and enrichment utilities.
  • Lead and mentor a small team (34) of Python developers supporting internal engineering and automation needs.

Required Technical Skills

  • Python Programming: Expertise in scripting, utility design, and code modularization.
  • API Integration: Experience in request handling, response parsing, and mocking.
  • Automation Design: Ability to create reusable components and diagnostics for validation workflows.
  • Cloud Functions: Knowledge of Azure Functions and AWS Lambda.
  • Reliability Engineering: Strong foundation in exception handling and reliability principles.
  • Azure AI: Hands-on experience with Azure AI services and AI-based development.

  • Full-Stack Development:

  • Developing responsive UIs using React, Angular, or web-based forms.

  • Building robust Python-based APIs and services.
  • Implementing authentication, error handling, and logging.
  • Building CI/CD pipelines and deploying to cloud.
  • Deploying containerized workloads using Azure Kubernetes Service (AKS) or equivalent.

Preferred Skills

  1. Exposure to Natural Language Processing (NLP) and document transformation workflows.
  2. Experience in enterprise environments with structured development and logging practices.
  3. Understanding of boundaries between internal tools and vendor-delivered solutions.

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