developing and managing cloud storage solutions
building data pipelines
automating processes using Python and Flask
provisioning infrastructure with Terraform and CloudBees
contributing to AI and Agentic AI solution development using MCP Services
designing and implementing cloud-based information systems on AWS infrastructure
defining system scope, conducting research and feasibility studies
creating technical documentation and flow charts
implementing and maintaining cloud infrastructure as code using Terraform
configuring CI/CD pipelines with CloudBees
monitoring resource utilization, performance metrics, and supporting security and compliance initiatives
developing and maintaining data engineering solutions including data pipelines, ETL/ELT processes, and analytics components using Python or Java
designing and managing cloud storage architectures
creating and maintaining comprehensive technical documentation
investigating and troubleshooting routine system issues
providing user support by developing training materials and gathering feedback

5+ years implementing and managing enterprise cloud backup and storage solutions
3+ years experience working with Data Domain
2+ years of experience working with Rubrik
3+ years of experience in Python development
AWS Certified Solutions Architect Professional
Experience with AWS Backup Services
Hands on experience with Dell Networker
Understanding of AI/ML workflows, data pipelines, and MLOps practices
Experience working with Splunk

Lead Cloud Engineer

Key skills