Description

Design and build intelligent systems to optimize cloud resource management across AWS, GCP, and Azure.

This role is on-site.

Responsibilities

• Design and implement AI Agents to monitor and optimize cloud resources based on provider recommendations.
• Develop predictive models for drift detection, cost anomaly detection, and cloud resource forecasting.
• Automate operational workflows using machine learning and intelligent scripting.
• Integrate AI-driven insights with AWS, GCP, and Azure environments.
• Design, build, and maintain scalable ETL pipelines using cloud-native services.

Required Skills

• 5+ years of professional software engineering experience.
• Hands-on experience with AWS, GCP, and Azure cloud platforms.
• Proficiency in building ETL Pipelines.
• Working knowledge of Snowflake data platform.
• Hands-on experience with AI/ML principles.
• Experience orchestrating workflows using Apache Airflow DAGs.
• Ability to use AWS Athena for data lake querying.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree