Senior Cloud Engineer

Senior Cloud Engineer Location: Remote; Charlotte, NC is a bonus Duration: 6-month contract-to-hire Pay: $65.00 JOB DESCRIPTION Our global Fortune 500 client, with U.S. headquarters in Charlotte, NC, is a world class food service provider with a strong presence across the nation. Celebrating almost 30 years in North America, this employee-focused company has received honors for diversity and inclusion, innovation, health and wellness, and company culture. CRG has successfully placed over 220 employees within the last 7 years within this organization, known for its continuous growth opportunities, fantastic benefits package, innovative technology, flexible work environment, and collaborative culture. RESPONSIBILITIES Leadership/Coaching Demonstrate an understanding of Team Goals, Strategies and Priorities. Demonstrate ability and willingness to share ideas with Associates, peers and management. Embrace a coaching culture, provide feedback to Associates, peers and management. Serve as a mentor to provide coaching and technical guidance to Associates. Demonstrate a positive attitude and set an example for colleagues. Attend regular manager and team lead status meetings and be engaged in meeting discussions and strategic planning. Problem Solving Demonstrate critical thinking skills to help lead efforts to diagnose and troubleshoot issues. Coordinate with the support service teams to identify common issues and develop appropriate documentation, training, and automation. Establish working partnerships with IT teams and external partners to coordinate problem resolution for operational issues and analyze root cause issues to address underlying infrastructure problems. Lead problem solving exercises by understanding the current state, conducting root problem analysis, solution identification, and then planning implementation and delivery activities. Develop "as is" and "to be" diagrams to visually represent challenges, risks, and opportunities for improvements. Create tickets for 100% of support requests. Acknowledge assigned tickets/issues in alignment with established SLAs but no longer than within 1 business day to communicate to users that the ticket has been assigned and identify the steps and timeline that will be taken to pursue resolution. Resolve most assigned tickets/issues within 3 business days. In the event a ticket/issue cannot be resolved within 3 business days, provide customer updates at least weekly to manage customer expectations and communicate the steps and timeline that will be taken to pursue resolution. Serve as an escalation point for Associates. Use sound judgement to determine the need to escalate issues/tickets to management awareness. QUALIFICATIONS Bachelor's degree in computer science, or combination of education and experience. AWS certification highly preferred. Excellent verbal and written communication skills. Excellent critical thinking and problem-solving skills. Positive attitude and solutions-oriented thinking. Ability to communicate technical concepts to both technical and non-technical audiences. Ability to work in a fast-paced environment and adapt to change. 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. Led design and production deployment of AWS GenAI solutions using Amazon Bedrock, enabling scalable, low-latency AI inference without managing model infrastructure or GPUs. Established enterprise AI platform patterns, balancing performance, cost, and safety through managed inference, prompt governance, and observability. Integrated Amazon Q/Kiro into cloud operations to accelerate troubleshooting, architecture analysis, and root-cause investigation using AWS context-aware AI. Partnered with security and application teams to operationalize responsible AI usage aligned with enterprise standards. 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. Must have/intermediate experience: AI Cloudformation EC2 S3 IAM VPC CICD SSM SG Cloudwatch EBS Category Code: JN008 #LI-LB1

Created: 2026-03-04