Python Engineer

Role Overview

Python Engineer

Key Responsibilities

Python Development & Utility Engineering

• Develop lightweight

  Python-based accelerators, validators, and utility components

  to support automation validation and edge-case testing.
• Build

  diagnostic tools

  , mock services, and reference implementations for scenarios like document parsing, API response emulation, and data transformation.
• Create

  reusable libraries and code snippets

  for capabilities not available in standard RPA/AI platforms.
• Develop

  Python modules

  tailored for document parsing pipelines, mock API responders, data preprocessing routines, and validation workflows.

Technical Support & Governance

• Support internal engineering teams by troubleshooting technical blockers and providing fallback logic samples.
  
• Review Python components delivered by external partners/SIs to ensure adherence to

  coding standards

  ,

  logging guidelines

  , and

  modular architecture principles

  .
• Maintain an internal repository of vetted Python tools for tasks such as tabular data extraction, NLP tokenization, and bulk data transformations.
  

Operationalization & Enhancements

• Assist in post-deployment non-functional improvements, including optimization of:
  
• Retry logic
  
• Timeout handling
  
• Data enrichment utilities
  

Leadership (If Applicable)

• Lead a small team of

  34 Python developers

  , guiding them on best practices, architecture, and code quality.

Low-Code / No-Code (Optional)

• Work with low-code/no-code platforms for agentic and automation development when required.
  

Required Technical Skills

Core Python Expertise

• Strong proficiency in

  Python

  , with emphasis on scripting, modularized code design, utilities, and reusable components.
• Expertise in

  API integrations

  , including:
• Request handling
  
• Response parsing
  
• Mocking/emulation of services
  

Automation & Validation Engineering

• Ability to design

  reusable automation components

  , validation logic, and diagnostic tools.
• Strong understanding of

  exception handling

  ,

  logging

  , and

  reliability engineering

  .

Cloud & Serverless Readiness

• Experience with cloud-native functions such as:
  

• Azure Functions

• AWS Lambda

• Azure AI-based development experience is strongly preferred.
  

Full-Stack Development Capability

1. Build responsive and intuitive

   front-end UIs

   using React, Angular, or lightweight web frameworks.
2. Develop robust

   Python-based back-end modules

   , APIs, and server components.
3. Integrate solutions with authentication, structured error handling, and centralized logging.
   
4. Implement CI/CD pipelines and automate builds/deployments on cloud platforms.
   
5. Deploy containerized workloads using

   AKS (Azure Kubernetes Service)

   or similar orchestration platforms.