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Job Description

Job Title –

Job Nature –

Experience –


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

  • Developing responsive and intuitive UIs using frameworks such as React, Angular, or simple web-based forms.
  • Building robust Python-based back-end modules, APIs, and services.
  • Ensuring seamless integration with authentication, error handling, and logging.
  • Experience in building CI/CD pipelines and deploying on cloud.
  • Experience in deploying containerized workloads (AKS, Azure Kubernetes Services or similar).


Preferred Skills

  • Exposure to natural language processing (NLP) and document transformation workflows.
  • Experience working in enterprise environments with structured development and logging practices.
  • Understanding of the boundaries between internal tools and vendor-delivered solutions.


Soft Skills

  • Ability to work independently on utility design and diagnostic component development.
  • Strong collaboration skills to support PoC teams and interface with solution integrators.
  • Proactive debugging and root cause analysis approach.
  • Clear documentation and communication of reusable code and patterns.


Qualifications

  • Bachelor’s degree in computer science, IT, or a related field.
  • 6–8 years of experience in enterprise Python development, including tooling and utilities.


Deliverables

  • Reusable Python code libraries, scripts, and internal tooling assets.
  • Diagnostic modules for integration scenarios and edge-case testing.
  • Reference repository of vetted preprocessing scripts.
  • Review notes and improvement recommendations for SI-delivered Python components.


Interview Process

  • Round 1: Technical interview on Python utilities, API integration, and diagnostic tooling.
  • Round 2: Problem-solving task involving design and debugging of a validation utility.
  • Round 3: Behavioral round focusing on team collaboration, documentation, and feedback handling.


Work Location –


Time Zone –

  • India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

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