We are seeking a TechOps Automation Engineer (Document Processing & Compliance Automation) with strong Python expertise to build intelligent automation solutions for document verification, compliance processing, workflow automation, and AI-powered data extraction.
The role involves developing automation for PDF/Excel processing, integrating OpenAI/Azure OpenAI models, building Python-based GUI tools, and implementing cloud storage automation using Azure or GCP.

The engineer will collaborate with TechOps and Compliance teams to replace manual verification processes with scalable, automated systems that improve accuracy, speed, and reporting quality.

Requirements

Core Technical Skills

Strong Python 3.x development experience (OOP, modular coding, async/multithreading, exception handling, logging).
PDF & document processing using PyMuPDF (fitz), pdfplumber, PyPDF2, and OCR tools such as Tesseract, EasyOCR, PaddleOCR.
Excel/Spreadsheet automation using openpyxl, pandas, and regex for pattern extraction.
GUI-based tool development using PyQt6/PySide6 with threaded execution, progress bars, file selectors, and log views.
Experience integrating OpenAI GPT / Azure OpenAI for extraction, summarization, classification, and anomaly detection.
Cloud automation experience with Azure (preferred) or GCP including:
REST API development and integrations using FastAPI/Flask, JSON/XML processing, and webhooks.
Version control and best practices using Git, code reviews, documentation, and CI/CD basics.
Experience with PostgreSQL or MongoDB for data persistence.

Functional Responsibilities

Develop automated workflows for document handling, verification, extraction, and compliance reporting.
Build AI-driven pipelines combining Python rules and GPT logic for decision-making and anomaly detection.
Automate comparison of fields such as PN/SN/POS and generate structured validation reports.
Integrate automation with Azure/GCP storage and internal REST APIs.
Deliver well-structured Python modules with scalability, logging, performance optimization, and error handling.
Convert manual processes into reliable automation for operations and compliance teams.

Experience Level

2 to 4 years of experience in Python Automation / Document Processing / AI-driven automation.

Good-to-Have Skills

UiPath, Power Automate, or RPA experience
Node.js scripting
Excel VBA automations
Serverless microservices exposure
SharePoint/OneDrive automation experience

Soft Skills

Strong analytical and problem-solving ability
Attention to detail (critical for compliance workflows)
Good communication and documentation abilities
Ability to work independently, own deliverables, and collaborate with cross-functional teams

Benefits

Professional Growth

Opportunity to work with advanced AI/OpenAI automation and cloud technologies.
Involvement in building end-to-end automation products, not just scripts.
Continuous learning support: courses, tech sessions, and certifications.

Work Environment

Flexible Remote / Hybrid / Onsite (Vadodara Office) working options.
Ownership-driven role with freedom to design automation workflows.
Collaboration with TechOps, Compliance, and Product Engineering teams.

Rewards & Compensation

Competitive contract-based compensation
Performance-based rewards or project milestone bonuses (if applicable)

Tools & Infrastructure

Access to advanced automation stack: OpenAI/Azure OpenAI credits, OCR APIs, Azure/GCP services.
High-performance development environment, cloud environments, and dev resources.

Career Advancement

Growth opportunities toward:
- Automation Lead / TechOps Lead
- AI Automation Specialist
- Solution Architect – Intelligent Automation

Engineer - TechOps Automation