Sr. AWS Cloud Engineer
- ClifyX, INC
3 Hours Ago
NA
W2
Minneapolis-MN
7-12 Years
Required Skills: AWS Cloud, stakeholders, CloudFormation, Terraform, AWS DataSync
Job Description
Key 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.
• Architect and configure AWS DataSync for high-volume, reliable data transfers between on-prem systems and AWS.
• Implement and manage Amazon S3 replication (CRR/SRR), lifecycle policies, encryption, and access controls.
• Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment.
• 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 CI/CD 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.
• Troubleshoot and resolve complex data migration and storage issues.
• Enforce AWS security, governance, and compliance standards for data protection.
• 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.
• Architect and configure AWS DataSync for high-volume, reliable data transfers between on-prem systems and AWS.
• Implement and manage Amazon S3 replication (CRR/SRR), lifecycle policies, encryption, and access controls.
• Design and develop machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment.
• 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 CI/CD 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.
• Troubleshoot and resolve complex data migration and storage issues.
• Enforce AWS security, governance, and compliance standards for data protection.
Required Qualifications
• 7+ years of experience in cloud engineering, with at least 4+ years of hands-on AWS experience.
• Strong hands-on experience with:
o AWS DataSync
o Amazon S3 (replication, lifecycle policies, versioning, encryption)
o AWS SageMaker
o Large-scale data storage and migration
• Proven experience migrating terabytes to petabytes of data from on-premises environments to AWS.
• 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).
• Solid understanding of IAM, encryption (KMS), and AWS security best practices.
• Ability to architect solutions, not just operate them.
• 7+ years of experience in cloud engineering, with at least 4+ years of hands-on AWS experience.
• Strong hands-on experience with:
o AWS DataSync
o Amazon S3 (replication, lifecycle policies, versioning, encryption)
o AWS SageMaker
o Large-scale data storage and migration
• Proven experience migrating terabytes to petabytes of data from on-premises environments to AWS.
• 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).
• Solid understanding of IAM, encryption (KMS), and AWS security best practices.
• Ability to architect solutions, not just operate them.
Roles & Responsibilities
• Execute quick POC
• Hands on work on the AWS Cloud services
• Co-ordinate with business and IT stakeholders.
• Strong experience in Relationship Management (with business and end clients) and Team building.
• Onsite-offshore co-ordination
• Strong reporting experience on projects and tasks status. Good presentation skills to management team.
• Execute quick POC
• Hands on work on the AWS Cloud services
• Co-ordinate with business and IT stakeholders.
• Strong experience in Relationship Management (with business and end clients) and Team building.
• Onsite-offshore co-ordination
• Strong reporting experience on projects and tasks status. Good presentation skills to management team.
