AWS Cloud Engineer / Remote / W2 ONLY / NO C2C

DataEdge Consulting is working with a global Fortune 500 company in the Food Services industry, seeking a Senior Cloud Engineer. The role involves leading the design and deployment of AWS GenAI solutions while integrating AI into cloud operations and partnering with security and application teams to ensure responsible AI usage.

Responsibilities:

• Lead design and production deployment of AWS GenAI solutions using Amazon Bedrock, enabling scalable, low-latency AI inference without managing model infrastructure or GPUs
• Establish enterprise AI platform patterns, balancing performance, cost, and safety through managed inference, prompt governance, and observability
• Integrate Amazon Q/Kiro into cloud operations to accelerate troubleshooting, architecture analysis, and root-cause investigation using AWS context-aware AI
• Partner with security and application teams to operationalize responsible AI usage aligned with enterprise standards

Requirements:

• 3 years AWS experience
• 3-5 years' experience developing infrastructure and platform pipelines for agile delivery to application teams
• AI first mentality to improving processes
• Experience with AWS, VPC, AZs, Subnets, Route53, ALB/NLB, WAF, Stacksets, Security Groups, NACLs, EC2, Systems Manager, Azure Devops, Ansible, Jenkins
• Strong knowledge of Windows and Linux operating systems. RHEL 8.x-9.x, SUSE and Windows Server 2019 and greater
• Fundamental networking/distributed computing environment concepts (Routing protocols, DHCP, DNS, TCP/IP)
• Excellent understanding of Containers, including AWS technologies ECR, EMR, EKS
• Understanding of Monitoring tools like Cribl, CloudWatch and Zabbix
• Troubleshooting software and hardware issues including root cause analysis
• Strong developer mindset with experience developing in CloudFormation, Terraform, Python, YAML, JSON
• Strong platform engineering background automating provisioning of resources in AWS
• Experiences building infrastructure as code CICD pipelines using CloudFormation, Gold Images, configuration management automation
• Engineering automated, repeatable platform solutions on AWS that allow easy to use self-service capabilities for application teams
• Strong understanding of security constructs in AWS including LoadBalancers, WAF, SGs, NACLs, Patching, CloudTrail, Guard Duty, etc
• Strong background building automated self-service capabilities in AWS
• AWS certification highly preferred