Senior Cloud Solutions Engineer (Azure)

RESPONSIBILITIES

Kforce has a client in Irvine, CA that is seeking a Senior Cloud Solutions Engineer (Azure) who will be responsible for performing a variety of technical tasks for Infrastructure and Operations relating Azure cloud environments and our existing production data centers.

Responsibilities

• Provides guidance, leadership, and mentorship to development teams to build cloud competencies
• Defines and documents best practices and strategies regarding application deployment and infrastructure maintenance
• Conducts technical engineering and operational responsibilities for the Azure cloud, hardware, software, and systems which includes operating systems, email, anti-virus, Azure Active Directory, Office 365 cloud services, and cloud-based disaster recovery

REQUIREMENTS

• Bachelor's degree in Computer Science, Systems Analysis or a related study, or equivalent experience
• Azure certification
• 10+ years of experience with application, infrastructure, database, and networking architecture
• 6+ years of experience managing large scale, production Windows environments
• 6+ years of experience supporting Active Directory, GPO, DNS, Clustering, and Windows Server (Server Core, 2016/2019/2022/2025)
• 3+ years of experience designing and supporting Azure environments, including IaaS and PaaS
• 2+ years of experience with CI/CD tools and concepts (e.g. Azure Pipelines, Jenkins, Travis CI, Hudson, Artifactory, etc.)
• Office 365 Exchange Online SME (architecture, design, configuration, support, and troubleshooting) experience required
• Extensive experience and working knowledge of Azure cloud platform
• Expert knowledge of Active Directory and external cloud DNS platforms
• Experience supporting a 24x7 production environment and experience with hardware and software virtualization required
• Experience with networking and security concepts, methods and technologies in large scale, production Azure and hybrid environments
• Experience with log collection tools and analysis, as well as infrastructure performance monitoring tools and optimization practices
• Working knowledge of container based infrastructure such as Docker, Kubernetes, AKS, etc.
• Hands-on experience with one or more configuration management systems such as Ansible, Chef, or Puppet
• Hands-on experience with automation tools such as Terraform, ARM template, Azure DevOps
• Hands-on experience with VMWare VCF design, and configuration
• Working knowledge of Cisco UCS and Private Cloud/AI infrastructure