Role & Responsibilities
Build and maintain AWS-native data lakehouse solutions using S3, Glue, Athena, Python, and Iceberg.
Design, develop, and support scalable data pipelines for data ingestion and transformation.
Manage cloud infrastructure using Terraform (Infrastructure as Code) with automated deployments.
Operate and support internal AI platforms, including AWS Bedrock, LLM gateways, and model access services.
Implement security controls across cloud, data, and AI platforms, including IAM, networking, and secrets management.
Collaborate with IT, Security, and Engineering teams to ensure platform reliability, scalability, and compliance.

Preferred Candidate Profile
Robust hands-on experience with Terraform or Infrastructure as Code (IaC) practices.




Solid AWS expertise in IAM, VPC Networking, PrivateLink, and S3.
Proficiency in Python for automation, tooling, and data engineering workflows.
Experience with AWS Glue, Athena, Data Lakes, Lakehouse architectures, and Apache Iceberg.
Exposure to AWS Bedrock, LLM gateways, API proxies, or AI platform infrastructure is highly preferred.
Robust understanding of cloud security, automation, monitoring, and DevOps best practices.
Self-driven skilled with experience managing production environments and working in Agile teams.

📌 Infrastructure Systems Engineer Hyderabad
🏢 Bounteous
📍 Hyderabad