Cloud Solution Engineer

Cloud Hybrid Technologies, LLC; Denver (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloud Hybrid Technologies, LLC in Denver is seeking a seasoned Cloud Solutions Architect to design, implement, and manage scalable Azure infrastructures supporting AI model deployments. You will collaborate with the AI Engineering team to optimize performance and cost, enforce IAM and data protection, and ensure high availability with robust disaster recovery.

The role requires hands-on Linux and open-source experience, agile practices, and a PCSA certification, contributing to secure, reliable

Qualifications

• Experience designing scalable Azure cloud infrastructures for AI deployments.
• Strong security practices in IAM, data protection, and compliance monitoring.
• Experience with high availability and disaster recovery / failover architectures.
• Hands-on Linux fundamentals and open-source architectures.
• Experience with Agile/Scrum methodologies.
• PCSA Certification.

Responsibilities

• Design, implement, and manage scalable cloud infrastructures in Azure to support AI model deployments, ensuring high availability and reliability.
• Collaborate with the AI Engineering team to streamline the deployment of machine learning models, optimizing the use of cloud resources for performance and cost-efficiency.
• Develop and enforce security best practices for Azure resources, including identity and access management, data protection, and compliance monitoring.
• Troubleshoot and resolve issues related to cloud infrastructure and model deployments, ensuring minimal downtime and efficient problem resolution.

Skills

Azure cloud

AI model deployments

Security best practices

Troubleshooting cloud infra

Networking

Linux fundamentals

Open-source architectures

Agile/Scrum

PCSA Certification

Education

PCSA Certification (Professional Cloud Solutions Architect)

Tools

VPN

TCP/IP

Load balancers

OpenStack

VMware

Azure

AWS

Job description

• Design, implement, and manage scalable cloud infrastructures in Azure to support AI model deployments, ensuring high availability and reliability.
• Collaborate with the AI Engineering team to streamline the deployment of machine learning models, optimizing the use of cloud resources for performance and cost-efficiency.
• Develop and enforce security best practices for Azure resources, including identity and access management, data protection, and compliance monitoring.
• Troubleshoot and resolve issues related to cloud infrastructure and model deployments, ensuring minimal downtime and efficient problem resolution.

Skills and Knowledge:

• Knowledge of enterprise cloud solutions, deploying and running solutions in a cloud environment, and private, public, and hybrid clouds
• Extensive experience with Internet technologies and protocols like TCP/IP, VPN, SSL and HTTP
• Hands-on experience with public and private cloud services (Azure, AWS, Openstack, VMWare, ect) as well as load balancers and networking devices
• Experience designing high availability and disaster recovery / fail-over infrastructures
• Development experience with database or application integration technology
• Deep knowledge of Linux fundamentals
• Knowledge of open-source architectures and/or past contributions to open-source projects
• Design, development and operations experience with highly available, scalable, and fault tolerant systems
• Experience with agile/scrum methodologies
• Professional Cloud Solutions Architect (PCSA) Certification.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract