Senior Infrastructure Engineer jobs at Homebase

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Under general supervision, the Systems Administrator II supports the setup, configuration, maintenance, and troubleshooting of systems and infrastructure. This role works closely with network, security, and help desk teams to ensure smooth operations and efficient issue resolution. Responsibilities include monitoring systems, diagnosing and resolving technical issues, managing backups and recovery, and providing exceptional support to internal and external users. Key Responsibilities Troubleshoot and resolve system, hardware, software, and network issues; provide clear and professional communication to users. Support end users via phone and in person; assist with approved software and device configuration. Install, configure, and maintain system hardware, software updates, patches, and peripherals. Serve as an escalation point for help desk system-related issues. Monitor system performance, metrics, and logs for reporting and trend analysis. Manage and maintain servers (physical and virtual), SAN, and related infrastructure. Execute backup, recovery, and security best practices. Assist with policy and procedure development; support organizational goals and compliance requirements (including BSA). Maintain accurate documentation; follow safety and security guidelines. Engage in ongoing learning and perform other duties as assigned. Qualifications Working knowledge of Windows Server, Linux, O365, Azure, virtualization (VDI/hypervisors), SCCM/SCOM, Group Policies, and system/security tools. Experience with patch management, vulnerability remediation, asset deployment, and performance optimization. Ability to create and interpret technical documentation and network diagrams. Strong analytical, troubleshooting, communication, and organizational skills. Experience with PowerShell scripting preferred. Ability to handle confidential information and work well in collaborative environments. Education & Experience Bachelor's degree or equivalent experience. 3-5 years of system administration experience or equivalent combination of training and experience.

Senior Infrastructure Systems Engineer - Hybrid Cloud (Azure / On-Prem / M365) We're seeking a Senior Infrastructure Systems Engineer for a leading investment management firm to take ownership of critical projects across a hybrid cloud environment. You'll design, deploy, and maintain secure, scalable infrastructure solutions spanning Azure and on-prem systems, while driving automation and modernization efforts. What You'll Do: Design, implement, and support hybrid infrastructure (Azure + on-prem). Administer and optimize M365 services (Exchange, Teams, SharePoint, Intune, Purview). Automate and manage infrastructure using PowerShell, Python, or Terraform. Strengthen security, compliance, and observability practices. Collaborate with cross-functional teams to deliver reliable, scalable solutions. What You Bring: 3+ years' experience in hybrid cloud environments (Azure / On-Prem / M365) Deep knowledge of M365, Active Directory, Entra ID Powershell or (Python or Terraform) Ability to manage complex projects independently. Ready to take on a hands-on role shaping hybrid cloud infrastructure? We invite you to apply and be part of a team driving innovation and excellence!

Lead Network Engineer/Architect (Remote with 20-25% Travel) Optomi in partnership with a major client is seeking an experienced Lead Network Architect to join their team. This will be a highly visible, consulting role but will also help with implementations and large-scale projects. This candidate will work remotely but travel to client sites as needed, mostly in the Northeast but potentially internationally as well. Some of the primary technologies will be Cisco, Meraki, SD-WAN, Arista, and Palo Alto. A CCIE level certification is highly preferred. Responsibilities: Support Fortune 500 enterprise clients across financial services, manufacturing, and global commercial industries Lead the design and implementation of enterprise routing, switching, and data center network architectures with a primary focus on Cisco and Arista technologies. Develop scalable campus architectures (Catalyst 9K, VSS/StackWise Virtual, SDA not required but beneficial). Execute end-to-end project delivery including configuration, integration, cutovers, migrations, and post-deployment optimization. Perform advanced troubleshooting across multi-vendor network stacks (Cisco, Arista, Palo Alto, Meraki). Apply today if your background includes: Ability to travel 20-25% of the time Extensive network engineering and architecture experience across large scale enterprise environments Experience with Cisco, Meraki, Arista, Palo Alto, and SD-WAN technology Experience leading network delivery, topology, cutover and project implementations Strong business acumen and client facing experience working directly with the customer

We are seeking an experienced System Administrator for a direct-hire role at a growing company. This role offers competitive benefits, including a 401(k) match. Reporting to the IT Manager, you will support organization-wide systems, infrastructure, networking, and end users while helping maintain a secure and reliable environment. What You'll Do Install, configure, and maintain hardware, operating systems, enterprise software, and networking devices. Perform ongoing health and performance monitoring for servers, networks, and cloud services; proactively diagnose and resolve issues. Administer and support O365, Azure, and Exchange environments, including user setup, permissions, and resource management. Implement and manage security protocols including access control, firewalls, endpoint protection, and routine security audits. Contribute to vulnerability management, including scanning, prioritizing findings, coordinating remediation, and implementing best practices. Manage user identities, permissions, and access rights to ensure secure resource allocation. Provide Tier 1-2 support for hardware, software, network, and cloud issues, ensuring timely and effective resolution. Plan and implement upgrades, patches, and updates for systems, cloud services, and infrastructure. Maintain up-to-date documentation on configurations, processes, troubleshooting procedures, and system inventories. Develop, implement, and routinely test backup and disaster recovery procedures. Administer and maintain network infrastructure including routers, switches, VPNs, and firewalls; collaborate with vendors as needed. Support structured cabling needs, including basic troubleshooting and coordination for installations or upgrades. Manage cloud-based resources and permissions across platforms such as AWS, Azure, or Google Cloud (Azure is preferred). Work cross-functionally with IT and other departments to deploy technology solutions and support ongoing operations. Stay current on emerging technologies and best practices in system administration, security, virtualization, and cloud infrastructure. Qualifications Proven experience in system administration with emphasis on servers, networks, cloud services, and user management. Hands-on experience with O365 administration (including user management, security, and integrations). Azure administration experience, including identity management, virtual machines, policies, and resource configuration. Experience with Exchange (on-prem, hybrid, or cloud). Strong understanding of firewalls, VPNs, and network security principles. Knowledge of vulnerability management practices and security frameworks. Familiarity with structured cabling standards and troubleshooting. Proficiency with Windows Server, Linux systems, network protocols, and virtualization tools. Excellent analytical, troubleshooting, and documentation skills. Strong communication and interpersonal abilities; able to work both independently and collaboratively.

Title: ACI Network Engineer Duration: Long term Rate: $ 75 -95/hr As a Senior Engineer, you will work in direct partnership with the client and internal client teams to build and support complex and reliable network solutions. Travel Requirements: This position does not require any travel. It will be based in Irving, TX (hybrid). Job Responsibilities: Design, maintenance and third level support for Cisco routing and switching Design, maintenance and third level Support for Cisco Application Centric Infrastructure (ACI) Design, maintenance and third level Support for Firewalls, including Next Gen Design, maintenance and third level Support for Wireless Infrastructure Design, maintenance and third level Support for Network Voice Infrastructure Design, maintenance and third level Support for Load Balancers Design, maintenance and third level Support for SD WAN Design, maintenance and third level Support for Meraki solutions Established and proven experience of providing WAN & LAN support in diverse environments. Required Skills: Cisco CCNP Certification Network infrastructure (WAN, MAN, LAN, Wifi, QoS for Data, Voice, and Video) Network protocols (IP, OSPF, BGP, RIP, IPSec, etc) MPLS / VPN / Hybrid WAN / Metro Networks / leased lines Network Hardware (Cisco routers and switches, cabling, firewalls) VOIP and Collaboration Systems Network connections to Cloud Providers (AWS, Azure, etc.) Network performance analysis and reporting Incident, Change and Problem Management processes within an ITIL based framework. Identity Management (Active Directory, ADFS, Azure AD, 2 Factor Auth, Radius, PEAP)

Our mission is to make actionable health information accessible to people everywhere in the world at the time it matters, enabling early detection and intervention of disease, and empowering individuals with information to live the lives they want to live. At Theranos, we're working to shape the future of lab testing. Now, for the first time, our high-complexity CLIA-certified laboratory can perform your tests quickly and accurately on samples as small as a single drop. Theranos' patented technology can analyze samples as small as 1/1,000 the size of the typical blood draw. Our tests are certified in our CLIA laboratory and cover a full range from blood, urine, and other samples. It's fast, easy, and the highest level of quality. Our proprietary infrastructure allows us to perform our test analyses with unprecedented speed. So we can have results to you and your doctor in a matter of hours, not days. Which means a fast diagnosis to support better, more informed treatment. By systematically controlling and standardizing our micro-processes, we offer tests with high levels of precision. We've also automated our pre- and post-analytic processes, minimizing human processing - the cause of the majority of lab-test errors Since we make it easy to measure your body's information at the needed frequencies, we can help doctors to see small changes in test results as they emerge over time. In doing so, we're working to help you and your doctor track chronic conditions and provide insight into the early detection of a broad range of medical conditions. Job Description Deploy regularly and manage applications deployment from QA to Staging to Production environment, including database and code upgrades. Grow and maintain our server environment hosting our healthcare applications. Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems, including managing database size and scalability. Plan and execute upon technical solutions to allow us to maintain our rapid growth. Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Maintain and monitor server security for HIPAA related compliance. Maintain and monitor uptime for our servers via a highly redundant hosting setup with a focus on performance and availability. Perform administrative functions and tasks to enforce configuration standards and policies using MS PowerShell, Group Polices, etc. Help to manage our system infrastructure at office and collocated (colo) locations. Participate in on-call after hours support rotation. Qualifications Minimum 5 years IT experience Strong skills with Microsoft web technologies with a focus on: Windows Server, IIS and SQL Server 2012, 2014 and/or 2016. Good knowledge on Windows and SQL Server backups and restores. Experience in building and managing server environments with high performance and availability. Experience in networking and firewall administration. Strong interpersonal skills required to effectively communicate with others. Passion for teamwork, problem solving and exceptional customer service. Knowledge on MongoDB and Windows PowerShell Scripting is a major plus. Microsoft Certified DBA certification is a plus. Learn, test and pilot new products and technologies. Familiarity with VMWARE administration and configuration. Additional Information All your information will be kept confidential according to EEO guidelines. ****************************

About the Team ByteDance Networking brings together innovative ideas and technologies from network architecture, software defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experiences in data center networking at massive scale. Responsibilities: * Design, implementation and deployment of high-speed network technologies to support AI/LLM applications. * Design and development of platforms/systems for monitoring, analysis and diagnosis of large scale AI/LLM network. * Research and development of high-performance AI communication framework, network protocol stacks, and codesign optimization of host-network-application to improve the scalability, reliability and performance of AI/LLM network. * Building next generation AI network infrastructure supporting large scale heterogeneous network hardware with innovative and deployable solutions.Minimum Qualifications * Bachelor or higher degree in computer science, electronic engineering, network engineering or related fields. * Proficiency in computer network and network programming. * Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on. * Be familiar with the latest advances in the area of high-speed network systems, including RDMA, congestion control, AI network optimization and so on. * Experience in developing high performance communication frameworks(including NCCL, MPI and RPC libraries) is a plus. * Experience in developing software systems for AI network diagnosis and performance optimization is a plus. Preferred Qualifications * Experience in developing high performance communication frameworks(including NCCL, MPI and RPC libraries) is a plus. * Experience in developing software systems for AI network diagnosis and performance optimization is a plus.