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

- Strong 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.
- Strong 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