Job description
We are seeking a Tech. Ops 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 Tech. Ops 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 Py. MuPDF (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 Py. Qt6/Py. Side6 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 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 Ui. Path, 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 Tech.
Ops, 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 / Tech. Ops Lead AI Automation Specialist Solution Architect – Intelligent Automation