Cloud Engineer

Experience: 8 years to 12 year

Location: Bangalore

Job Description:

Key Responsibilities

Design, deploy and maintain automated invoice extraction pipelines using GCP Document AI.

Develop custom model training workflows for documents with non-standard formats.

Preprocess and upload document datasets to Cloud Storage.

Label documents using DocAI Workbench or JSONL for training.

Train and evaluate custom processors using AutoML or custom schema definitions.

Integrate extracted data into downstream tools (e.g., BigQuery, ERP systems).

Write robust, production-grade Python code for end-to-end orchestration.

Maintain CI/CD deployment pipelines

Ensure secure document handling and compliance with data policies.

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Required Skills & Experience

Strong hands-on experience with Google Cloud Platform, especially:

o Document AI

o Cloud Storage

o IAM

o Vertex AI (preferred)

o Cloud Functions / Cloud Run

Proficient in Python, including Google Cloud SDK libraries

Familiarity with OCR, and schema-based information extraction

Understanding of security best practices for handling financial documents

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Preferred Qualifications

Previous projects involving invoice or document parsing

Familiarity with BigQuery for analytics/reporting