We are seeking a TechOps Automation Engineer (Document Processing & Compliance Automation) with robust 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
Robust 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:
Blob/Cloud Storage, Functions/Cloud Functions, App Service/Cloud Run
SAS/OAuth authentication
Key Vault / IAM for secret management
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

📌 Engineer Techops Automation Vadodara
🏢 flydocs
📍 Vadodara