AWS PLATFORM ENGINEER

About the role

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5–8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads.

Skills

• Strong experience with AWS S3, Glue, Athena, and EMR
• Hands-on experience with Terraform and AWS Infrastructure as Code
• Strong knowledge of VPC, IAM, Security Groups, VPC Peering, PrivateLink, and Transit Gateway
• Experience with Docker, GitLab CI/CD, and Artifactory
• Experience supporting Scala/Spark ETL pipelines
• Proficiency in Python, Linux, and Shell scripting
• Experience with CloudWatch, Prometheus, or Grafana
• Experience with REST APIs and AWS SDK/boto3
• Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices
• Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge
• Experience supporting AI agent runtime environments
• Experience with LangGraph and LangSmith Deployments is preferred
• Experience with cloud-based data lake and distributed data processing environments

Responsibilities

• Design and manage AWS infrastructure for Data Lake and AI workloads
• Manage cross-account connectivity, networking, IAM, and security
• Build and maintain CI/CD pipelines for AI agent deployments
• Support and troubleshoot Scala/Spark ETL pipelines and onboard new data sources
• Implement monitoring, alerting, automation, and incident response
• Develop reusable infrastructure and automation using Terraform and Python
• Collaborate with engineering teams and external platform owners on connectivity, security, and access requirements