4 network infrastructure engineer jobs at 4 companies in Yucaipa, CA
2mo
Save
Mark Applied
Hide
2mo
Network Infrastructure Engineer (23587)
Rancho Cucamonga, California, United States
$118k-$170k/yrHybridFull Time
Sumitomo Rubber North AmericaTokyo Stock Exchange: 5110: Manufactures and distributes high-performance tires for cars and motorcycles.
6+ YOE5-7 years in network administration/engineering; BS in CS/IT or related field or equivalent experience; TCP/IP, routing, switching, VLANs; routers/switches/firewalls; VPNs and ACLs; Python for automation; AWS/Azure; Linux; occasional overnight travel.
RAVE Aerospace: Developing in-flight entertainment and connectivity systems for airlines.
8+ YOEBachelor's or equivalent,8+ years in infrastructure engineering, experience with hybrid on‑prem/cloud, virtualization, enterprise storage, AWS, Active Directory, Microsoft 365, identity and access, networking, backups, and Linux/Unix/macOS.
VMware vSphere, Omnissa Horizon, Hyper-V, Azure, AVD, Dell Unity, PowerScale, Isilon, PowerStore, AWS access portal, AWS IAM Identity Center, AWS Control Tower, Microsoft Active Directory, Windows Server, DNS, DHCP, Microsoft Exchange, Microsoft 365, Office 365, Azure AD, Entra ID, SSO, MFA, Cisco CLI, Veeam, Cohesity, Linux, Unix, macOS, Intune, MDM
Product Engineer II – On-premises Kubernetes, ArcGIS Enterprise
Redlands, California, United States
$80k-$133k/yrOnsiteFull Time
Esri: Developing software for digital mapping and spatial data analysis.
2+ YOE2+ years in Kubernetes; infrastructure automation; RESTful APIs; private cloud, Linux networking, and Kubernetes service meshes; bachelor’s in engineering, CS, math, GIS or related field.
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.