Python Engineer

Key Responsibilities

• Develop lightweight Python-based accelerators, validators, and utility components that support automation use case

validation and edge-case testing.

• Build diagnostic tools and reference implementations for integration scenarios (e.g., document parsing, API response

emulation) to assist internal teams in early-phase feasibility nvalidation.

• Create reusable code snippets and utility libraries for functions that are not available in standard RPA/AI platforms,

ensuring clear handover boundaries.

• Support internal teams with troubleshooting technical blockers and provide fallback logic examples.
• Develop Python modules tailored to internal validation, diagnostic, or transformation needs, such as document parsing

pipelines, mock API responders, or reusable data handling routines for pre-processing automation input data.

• Work on No Code / Low Code platforms for Agentic development (on a need basis).
• Maintain internal reference repository of vetted Python tools for common preprocessing tasks (e.g., tabular extraction,

NLP tokenization, batch transformation).

• Review Python-based components delivered by SI (where applicable) for adherence to internal coding standards,

logging protocols, and modularity expectations.

• Assist in operationalizing post-deployment enhancements (non-functional) such as optimization of retry logic, timeout

handling, or enrichment utilities.

• May lead a small team of 3 to 4 Python developers supporting internal engineering needs.

Required Technical Skills

• Proficiency in Python programming with focus on scripting, utility design, and code modularization.
• Experience in API integration, including request handling, response parsing, and mocking.
• Ability to design reusable automation components and diagnostics for validation workflows.
• Knowledge of cloud function readiness (e.g., Azure Functions, AWS Lambda).
• Strong foundation in exception handling and reliability engineering
• Azure AI based development experience
• Full-stack Development Capability: Ability to design and implement both front-end user interfaces (UIs) and back-end

services for automation and validation tools. This includes:

1. Developing responsive and intuitive UIs using frameworks such as React, Angular, or simple web-based forms.

2. Building robust Python-based back-end modules, APIs, and services.

3. Ensuring seamless integration with authentication, error handling, and logging.

4. Experience in building CI/CD pipelines and deploying on cloud.

5. Experience in deploying containerized workloads (AKS, Azure Kubernetes Services or similar).

Preferred Skills

1. Exposure to natural language processing (NLP) and document transformation workflows.

2. Experience working in enterprise environments with structured development and logging practices.

3. Understanding of the boundaries between internal tools and vendor-delivered solutions.

Soft Skills

1. Ability to work independently on utility design and diagnostic component development.

2. Strong collaboration skills to support PoC teams and interface with solution integrators.

3. Proactive debugging and root cause analysis approach.

4. Clear Deliverables

1. Reusable Python code libraries, scripts, and internal tooling assets.

2. Diagnostic modules for integration scenarios and edge-case testing.

3. Reference repository of vetted preprocessing scripts.

4. Review notes and improvement recommendations for SI-delivered Python components.

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