Requirements:
1. 8-10 years of experience in cloud and platform engineering with extensive experience on AWS-based data platforms.
2. Proven leadership of cross-functional engineering teams managing production-grade multi-environment platforms.
3. Hands-on expertise in:
a. AWS Services: VPC EC2 S3 RDS Lambda KMS CloudFormation/CDK Transfer Family CloudWatch CloudTrail.
b. Snowflake: administration RBAC warehouse optimization DevOps automation Cortex AI and Streamlit integration.
c. EKS / Airflow / Airbyte (Datapipe): container orchestration CI/CD pipelines and deployment automation.
d. SageMaker: multi-domain setup pipeline management Studio/Canvas lifecycle and MLOps enablement.
e. Monitoring & Observability: CloudWatch Splunk Snowflake Account Usage cost dashboards PagerDuty Slack ServiceNow.
4. Demonstrated success in prototyping implementing and scaling new cloud and data platform features into production.
5. Experience managing Day 2 operations incident response and SRE-driven performance stabilization.
6. Familiarity with machine learning integration and model lifecycle management.
7. Experience enforcing ITSec and compliance standards (IAM KMS PDPA/GDPR).
8. Proven success in transitioning platform operations from vendor-managed to in-house ownership.