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

Education

Bachelor's degree in computer science, or combination of education and experience.
AWS certification highly preferred

Interpersonal Skills
SKILLS NEEDED

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.

MUST-HAVE/ INTERMEDIATE EXPERIENCE

AI
Cloudformation
EC2
S3
IAM
VPC
CICD
SSM
SG
Cloudwatch
EBS
S3

Essential Job functions

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, 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
Strong communication skills
Can-do attitude a must

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.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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