Hiring for Senior AWS Cloud Engineer for Minneapolis, MN (Locals Only)

Hi,

LOCAL MINNESOTA PROFILES ONLY
In-Person Interview

Job Title: Senior AWS Cloud Engineer – Data Migration & Storage Architect
Location: Minneapolis, MN
Duration: 12+ Months
Work Arrangement: 100% Onsite
Candidate Requirement: LOCAL MINNESOTA PROFILES ONLY – Must be available for In-Person Interview

Job Summary

We are seeking a highly experienced Senior AWS Cloud Engineer with strong expertise in AWS Data Migration, Large-Scale Data Storage Architectures, AWS DataSync, S3 Replication, SageMaker, and Infrastructure as Code (IaC). The ideal candidate will lead enterprise-scale cloud transformation initiatives involving migration of terabyte-to-petabyte scale datasets from on-premises environments to AWS.

This is an architecture-focused role requiring deep hands-on implementation experience as well as the ability to design secure, scalable, highly available, and cost-optimized AWS solutions.

Required Experience

• 7+ years of Cloud Engineering experience.
• 4+ years of hands-on AWS Cloud experience.
• Proven experience leading large-scale on-premises to AWS migration projects.
• Experience migrating terabytes to petabytes of enterprise data.
• Strong architecture and solution design experience.

 

Core AWS Expertise

AWS Data Migration & Storage

• AWS DataSync
• Amazon S3
• S3 Replication (CRR/SRR)
• S3 Lifecycle Policies
• S3 Versioning
• S3 Encryption
• Data Archival Solutions
• Backup & Disaster Recovery
• Data Transfer Optimization

AWS Core Services

• Amazon EC2
• Amazon S3
• Amazon RDS
• AWS Lambda
• Amazon VPC
• IAM
• Route 53
• Elastic Load Balancer (ELB)
• AWS FSx
• Amazon ECR
• AWS Secrets Manager

Machine Learning & Analytics

• AWS SageMaker
• SageMaker Studio
• Jupyter Notebooks
• Machine Learning Model Development
• Model Training & Deployment
• Data Processing Pipelines

Data Engineering & Integration

• AWS Glue
• Data Ingestion Frameworks
• Data Transformation
• ETL Processing
• Enterprise Data Movement
• Data Lake Architecture

 

Must-Have Technical Skills

Data Migration Architecture

• On-Premises to AWS Migration
• Data Migration Planning
• Migration Execution
• Data Validation
• Cutover Planning
• Migration Automation
• Large Dataset Migration

AWS DataSync Expertise

• DataSync Configuration
• DataSync Optimization
• High-Volume Data Transfers
• Hybrid Data Movement
• Performance Tuning
• Migration Monitoring

Storage Architecture

• Enterprise Storage Design
• Object Storage Architecture
• Data Lifecycle Management
• Data Retention Strategies
• Cost Optimization
• Data Durability & Availability

Infrastructure as Code (IaC)

• Terraform
• AWS CloudFormation
• Infrastructure Automation
• Environment Provisioning
• Infrastructure Governance

DevOps & CI/CD

• Jenkins
• CI/CD Pipelines
• Automated Deployments
• Release Management
• Infrastructure Deployment Automation

AWS Security

• AWS IAM
• AWS KMS
• Encryption at Rest
• Encryption in Transit
• Security Best Practices
• Governance & Compliance
• Access Control

Networking

• AWS Direct Connect
• VPN Connectivity
• Network Architecture
• Bandwidth Optimization
• Hybrid Cloud Connectivity
• Data Transfer Optimization

 

Key Responsibilities

AWS Architecture & Design

• Design secure, scalable, and highly available AWS cloud solutions.
• Develop enterprise-grade storage architectures for large datasets.
• Create migration strategies and target-state cloud architectures.
• Optimize cloud resources for performance and cost efficiency.

Data Migration Leadership

• Lead on-premises to AWS migration initiatives.
• Define migration roadmaps and execution plans.
• Manage migration validation and cutover activities.
• Ensure minimal disruption during migration processes.

AWS DataSync & Storage Management

• Architect and configure AWS DataSync solutions.
• Implement S3 replication strategies (CRR/SRR).
• Configure lifecycle policies, versioning, and encryption.
• Design backup and disaster recovery solutions.

Machine Learning Enablement

• Design and deploy SageMaker environments.
• Support ML model development, training, and deployment.
• Integrate data platforms with machine learning workflows.

Infrastructure Automation

• Develop Infrastructure as Code solutions using Terraform or CloudFormation.
• Automate cloud provisioning and deployment processes.
• Implement DevOps best practices and CI/CD pipelines.

Security & Compliance

• Implement AWS security best practices.
• Ensure compliance with enterprise governance requirements.
• Design secure data transfer and storage solutions.
• Implement encryption and access management controls.

Collaboration & Support

• Work closely with:
• Infrastructure Teams
• Cloud Architects
• Security Teams
• Database Teams
• Application Teams
• Troubleshoot complex cloud, migration, and storage issues.
• Provide technical leadership and architectural guidance.

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Preferred Qualifications

• AWS Solutions Architect Certification.
• AWS Advanced Networking Certification.
• AWS Data Analytics Certification.
• Experience supporting enterprise cloud modernization programs.
• Experience with petabyte-scale cloud environments.
• Exposure to AI/ML workloads in AWS.

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Required Soft Skills

• Solution Architecture Leadership
• Problem Solving
• Technical Communication
• Stakeholder Management
• Project Ownership
• Analytical Thinking
• Collaboration & Teamwork
• Documentation Skills

 

Thanks & Regards

Shrey Sharma

Sr. Technical Recruiter

E: shrey.s@noviainfotech.com

LinkedIn: https://www.linkedin.com/in/shrey-sharma-322992370/
Novia Infotech, 4421 Avenida Ln, McKinney, TX, 75070, www.noviainfotech.com

 

 

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