Senior Systems Solutions Architect – Cloud, Virtualization & AI; Remote – California)

Senior Systems Solutions Architect
- Cloud, Virtualization & AI (Remote
- California)

Full-Time, Part-Time, or Contract | Competitive Compensation + Professional Development

For more than 20 years, GigaKOM has delivered enterprise-level IT solutions to California K–12 school districts, higher education institutions, state and local government agencies, and commercial organizations. Through partnerships with leading manufacturers and technology providers, we design and deliver secure, scalable infrastructure solutions that support mission-critical environments.

As organizations continue modernizing their infrastructure, cloud platforms, identity, and data capabilities, GigaKOM is expanding its architecture and consulting capabilities. We are seeking a Senior Systems Solutions Architect to design, support, and optimize enterprise environments across Microsoft cloud services, virtualization systems, enterprise infrastructure, and emerging AI-driven technologies.

This role combines solution architecture, systems engineering, client consulting, and ongoing infrastructure support to help organizations modernize, secure, and optimize their IT environments.

Remote
- California

This is a fully remote position supporting client environments across California.

The Senior Systems Solutions Architect is responsible for designing, implementing, and supporting modern enterprise infrastructure solutions that integrate cloud services, virtualization platforms, AI-enabled technologies, identity and access management, and core enterprise systems.

This role works closely with sales teams, engineers, and client stakeholders to evaluate current environments, architect scalable solutions, support client infrastructure, and guide organizations through modernization initiatives.

In addition to solution design, this position will support client systems, troubleshoot infrastructure issues, and ensure optimal performance, security, and reliability across deployed environments.

The ideal candidate is both a strategic architect and a hands-on technologist with deep experience across Microsoft technologies (Azure, Microsoft Entra ), virtualization platforms, and enterprise server environments.

• Architect and design hybrid and cloud solutions using Microsoft Azure and related services
• Design and implement identity and access solutions using Microsoft Entra  (authentication, SSO, conditional access, MFA)
• Develop infrastructure strategies supporting scalability, resilience, and security
• Guide organizations through cloud migration, modernization, and optimization initiatives
• Design high-availability architectures for mission-critical workloads

• Lead the design of end-to-end, enterprise-grade data center solutions that are scalable, secure, resilient, and cost-optimized across compute, storage, networking, virtualization, backup, and hybrid/multi-cloud environments.
• Translate business and technical requirements into future-ready architecture, aligning solutions with client digital transformation goals, operational models, and long-term technology strategies.
• Architect and integrate multi-vendor solutions leveraging Cisco, HPE, Dell EMC, VMware, Microsoft Azure, AWS, and Veeam, ensuring seamless interoperability and optimal technology selection.
• Develop high-level and low-level designs (HLD/LLD), architecture diagrams, and solution blueprints covering scalability, performance, availability, and integration points.
• Ensure alignment with industry best practices, security standards, and vendor reference architectures, while optimizing total cost of ownership (TCO) and risk mitigation.
• Incorporate hybrid cloud, automation, and modern infrastructure principles (HCI, SDDC, orchestration) to enhance agility, operational efficiency, and service reliability.

• Architect virtualization platforms including VMware and Hyper-V (and related tooling)
• Design solutions for compute, storage, backup/recovery, and enterprise server infrastructure
• Support modernization of legacy systems into hybrid or cloud environments
• Optimize performance and resource utilization across virtualized environments

• Evaluate opportunities to integrate AI-driven services, automation, and intelligent data platforms
• Design infrastructure capable of supporting AI-related workloads, analytics, and…