Sierra Business Solution LLC
AWS Cloud Engineer Minneapolis, - MN - Minnesota
Minneapolis, Minnesota, USA · third party, contract
Sponsorship not specifiedDetected 54 days ago
AWSTerraformJenkinsDevOpsMachine LearningCybersecurityVPN
About the role
- This role focuses on on-premises to AWS data migration, large data storage architectures, and enterprise-grade data transfer solutions using AWS DataSync, S3 replication, and related AWS services.
- Architect and configure AWS DataSync for high-volume, reliable data transfers between on-prem systems and AWS.
- Troubleshoot and resolve complex data migration and storage issues.
Responsibilities
- Design and implement scalable, secure, and cost-optimized AWS data storage architectures for large datasets.
- Configure and manage AWS services including EC2, S3, RDS, Lambda, VPC, IAM, Route 53, DataSync, S3 Replication, SageMaker, Glue, ELB, FSx, ECR, and Secrets Manager.
- Lead on-premises to AWS cloud data migration initiatives, including planning, execution, validation, and cutover.
- Implement and manage Amazon S3 replication (CRRSRR), lifecycle policies, encryption, and access controls.
- Design solutions for large data ingestion, archival, backup, and disaster recovery using AWS services.
- Perform hands-on implementation of AWS infrastructure using best practices and Infrastructure as Code (IaC).
- Implement CICD pipelines using Jenkins or similar tools.
- Optimize data transfer performance, storage costs, and data durability.
- Collaborate with application, database, network, and security teams to ensure seamless integrations.
Requirements
- 7+ years of experience in cloud engineering, with at least 4+ years of hands-on AWS experience.
- Strong understanding of networking concepts (VPN, Direct Connect, bandwidth optimization).
- Experience designing high-availability, fault-tolerant cloud architectures.
- Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, or equivalent).
- Ability to architect solutions, not just operate them.
Skills
- AWS DevOps and Automation Experience Required: 6-8
- Onsite-: Minneapolis, Mn **Local
Benefits
- Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment.
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