AWS Cloud Security

Role Overview

We are looking for a Cloud Engineer with 1–2 years of experience in cloud infrastructure, intelligent document processing (IDP), and data pipelines. The candidate should have hands-on exposure to AWS and Azure services, Python automation, and ETL workflows. The role includes deploying cloud applications, integrating AI document models, and supporting cloud operations.

Key Responsibilities

Cloud Infrastructure (AWS & Azure)

• Design, configure, and maintain AWS (EC2, Lambda, S3, IAM, RDS, Secret Manager) and Azure environments.
• Deploy scalable, secure, and cost-efficient cloud applications.
• Integrate cloud services with Python-based workflows.

Intelligent Document Processing (IDP)

• Build and enhance document processing solutions using Azure Document Intelligence, Azure OpenAI, and AWS Textract.
• Train, test, and optimize AI/ML models for document extraction.
• Perform data cleaning, preprocessing, and transformation.

ETL & Data Pipelines

• Develop and automate ETL pipelines using PySpark, Python, AWS, and SQL.
• Load, transform, and validate data using SSMS and DBeaver.
• Troubleshoot and optimize pipelines via CloudWatch; support data replication (e.g., Syniti).

Required Skills

• Hands-on AWS (EC2, Lambda, S3, IAM, RDS, CloudWatch, Secret Manager).
• Knowledge of Azure AI services (Document Intelligence, Azure OpenAI).
• Strong Python, PySpark, SQL skills.
• ETL workflow development and data analysis experience.
• Familiarity with DBeaver, SSMS, Power BI, Excel.
• Basic cloud concepts and security best practices.

Preferred Skills

• Knowledge of R, SAS, or statistical modeling.
• Exposure to big-data tools or data visualization.
• Basic experience in AI/ML model training or fine-tuning.