Sr. Cloud Engineer

Title: Sr. Cloud Engineer
Location: Charlotte, NC Remote
Assignment Type: 6‑month contract‑to‑hire

• 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.

• AI
• Cloud Formation
• EC2
• S3
• IAM
• VPC
• CICD
• SSM
• Security Groups
• Cloud Watch
• EBS
• S3

• 3 years AWS experience.
• 3‑5 years experience developing infrastructure and platform pipelines for agile delivery to application teams.
• AWS Certifications highly desired.
• 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, Route
  53, ALB/NLB, WAF, Stack Sets, Security Groups, NACLs, EC2, Systems Manager, Azure Dev Ops, 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.
• Experience with monitoring tools like Cribl, Cloud Watch, and Zabbix.
• Troubleshooting software and hardware issues including root‑cause analysis.
• Strong developer mindset with experience developing in Cloud Formation, Terraform, Python, YAML, JSON.
• Strong platform engineering background automating provisioning of resources in AWS.
• Experience building infrastructure as code CICD pipelines using Cloud Formation, 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 Load Balancers, WAF, SGs, NACLs, Patching, Cloud Trail, Guard Duty, etc.
• Strong background building automated self‑service capabilities in AWS.
• Strong communication skills.
• Can‑do attitude a must.

• 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.

• 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…