Capstone Integrated Solutions

DevOps Engineer

• Design and maintain CI/CD pipelines supporting automated testing, deployment, and change management across CDP, data lake, marketing cloud, and migration workstreams
• Provision and manage AWS environments including S3 buckets, Glue jobs, networking, IAM, and VPCs for non-production development and staging
• Ensure environments are logically segregated with no public internet access per SOW requirements
• Implement and enforce infrastructure as code using AWS CDK or Terraform
• Manage the MLOps lifecycle on Amazon SageMaker, including model versioning, deployment automation, endpoint monitoring, and automated retraining triggers
• Support Amazon Bedrock integration deployments by managing prompt versioning, model configuration, and API endpoint reliability
• Implement and maintain data lake security infrastructure using AWS Lake Formation, including row-level security, column-level encryption, and IAM permission boundaries
• Support Azure-to-AWS migration execution, including target environment provisioning, AWS DataSync jobs, cutover procedures, freeze periods, and rollback plans
• Monitor pipeline health, data job execution, and ML endpoint performance across AWS Glue, Step Functions, Lambda, Kinesis, and SageMaker using CloudWatch and AWS-native observability tools
• Implement AWS cost optimization practices and provide guidance on Azure resource decommissioning post-migration
• Coordinate change management processes, including documenting changes, obtaining approvals, executing peer-reviewed deployments, and maintaining rollback procedures
• Collaborate with Data/ML and Full Stack engineers across data pipelines, ML inference, and application layers
• Contribute to operations runbooks, deployment guides, and infrastructure documentation

AWS DevOps Engineer, MLOps