Engineer TechOps Automation
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
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:
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
UiPath Power Automate or RPA experience
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
Required Skills:
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: 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 UiPath Power Automate or RPA experience 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
Company Industry
Architecture and Planning / Interior Design
Key Skills
- Continuous Integration
- APIs
- Automotive software
- Test Cases
- Electrical Engineering
- Junit
- Distributed Control Systems
- Testng
- Java
- Test Automation
- Programmable Logic Controllers
- Selenium
