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OP

Openkyber

via Indeed

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Senior AI Cloud Engineer

Anywhere
Full-time
Posted 2/26/2026
Verified Source
Key Skills:
Kaseya Scripting
PowerShell
Active Directory
VMware
Azure Cloud

Compensation

Salary Range

$90K - 130K a year

Responsibilities

Lead patching and automation efforts using RMM tools and scripting to manage large endpoint environments.

Requirements

Extensive AWS cloud engineering experience with certifications, infrastructure as code, and AI/GenAI platform deployment skills.

Full Description

OpenKyber Tech is a full-service software development company, offering end-to-end IT solutions, strategic technology consulting and product development services in Web, SMAC (Social, Mobile, Analytics, Cloud), ERP-BPM, and IoT space Our methodology of inventing infinite possibilities with technology helps us develop best in-class and cost effective solutions for our clients. Currently OpenKyber Tech is looking for talented resources for one of our listed client. Below are the position details Job Title: Sr. Cloud Engineer Location: Remote; Charlotte, NC is a bonus Assignment Type: 6 Month (Contract-to-hire) Education Bachelor s degree in computer science, or combination of education and experience. AWS certification highly preferred 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. Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to hirings@openkyber.com Phone 6.3-0-6 8 9-2.9 60 - 1062 Thanks for all your time! For applications and inquiries, contact: hirings@openkyber.com

This job posting was last updated on 3/2/2026

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