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Remote Rack Stack Jobs in Berkeley, CA (NOW HIRING)

Qcells

AVL Integrations Engineer

San Francisco, CA · On-site +1

$105K - $145K/yr

Remote may be considered in exceptional cases. RESPONSIBILITIES * Design, build, test, and maintain ... Partner with the BESS/Inverter and PV/Racking Tech SMEs to operationalize their AVL decisions into ...

All JobsRemote Rack Stack JobsRemote Rack Stack Jobs in Berkeley, CA

Remote Rack Stack information

See Berkeley, CA salary details

$54.5K

$165K

$233.3K

How much do remote rack stack jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote rack stack in Berkeley, CA is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $193,500.00 per year, depending on experience, location, and employer.

How does a Remote Rack Stack technician typically collaborate with on-site teams to ensure timely issue resolution?

Remote Rack Stack technicians frequently work closely with on-site data center staff to coordinate hardware installations, troubleshooting, and repairs. Communication is primarily handled through ticketing systems, video calls, or instant messaging platforms to provide clear instructions or receive real-time feedback. Success in this role often relies on establishing strong relationships with local teams and maintaining detailed documentation to bridge the physical distance. As a result, effective collaboration and proactive communication skills are essential for timely and accurate issue resolution.

What are the key skills and qualifications needed to thrive as a Remote Rack Stack Technician, and why are they important?

To thrive as a Remote Rack Stack Technician, you need strong knowledge of server and network hardware installation, troubleshooting skills, and a background in IT or data center operations. Familiarity with remote management tools, ticketing systems, and possibly certifications like CompTIA Server+ or Cisco CCNA is highly beneficial. Excellent communication, attention to detail, and the ability to follow precise instructions are critical soft skills for coordinating with on-site and remote teams. These skills ensure efficient and accurate hardware deployment, minimize downtime, and maintain data center reliability.

What is a Remote Rack Stack technician?

A Remote Rack Stack technician is a professional responsible for assembling, installing, and maintaining server racks and related hardware in data centers or server rooms, often without being physically present onsite. They use remote management tools and coordinate with onsite staff to ensure that all equipment is properly installed, connected, and configured. Their responsibilities may include troubleshooting hardware issues, performing upgrades, and ensuring optimal performance of the IT infrastructure. This role is crucial for organizations that rely on remote data centers or have distributed IT environments.

What is the difference between Remote Rack Stack vs Remote Network Technician?

AspectRemote Rack StackRemote Network Technician
CertificationsCompTIA Server+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentData centers, server rooms, hardware installation sitesNetwork operation centers, client sites, hardware troubleshooting
Industry UsageIT infrastructure, data center managementNetwork support, troubleshooting, and maintenance
Common TasksInstalling and configuring server racks, hardware setupConfiguring network devices, troubleshooting connectivity issues

Remote Rack Stack professionals focus on hardware installation and server rack setup within data centers, while Remote Network Technicians handle network configuration and troubleshooting. Both roles require technical certifications and work in similar environments, but their core responsibilities differ in hardware versus network support.

What job categories do people searching Remote Rack Stack jobs in Berkeley, CA look for? The top searched job categories for Remote Rack Stack jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Rack Stack jobs? Cities near Berkeley, CA with the most Remote Rack Stack job openings:
Remote Rack Stack jobs near you
Infographic showing various Remote Rack Stack job openings in Berkeley, CA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 26% Full Time, 70% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Project Manager, Cluster Deployment

Project Manager, Cluster Deployment

STN Incorporated

Pleasanton, CA • On-site, Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Project Manager, Cluster DeploymentLocation: Pleasanton, CA (Hybrid) or Remote with Travel
Reports To: Project Management Operations
At STN, we don\'t just adapt to the digital future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving technology landscape through strategic insight, cutting-edge solutions, and a security-first mindset. We provide end-to-end services spanning cloud consulting, AI infrastructure, and enterprise security, enabling secure, scalable, and future-ready transformation.
As trusted advisors, we align IT investments with business outcomes that drive performance and growth, starting with deep strategic engagement and delivering tailored solutions built for long-term impact.
Our approach is innovation-led and rooted in cybersecurity, with a focus on leveraging the right technologies to solve real-world challenges. We invest in our people and foster a culture of growth, inclusion, and purpose because we believe empowered teams build transformative technology.
Overview
The Project Manager, Cluster Deployment owns end-to-end delivery of STN\'s GPU cluster builds across colocation and modular data center (MDC) sites. This role drives schedule, scope, budget, and quality from contract execution through customer go-live, coordinating across architecture, supply chain, vendors, colocation partners, and customer technical teams. Initial assignments include GPUaaS deployments for enterprise AI customers and multi-site MDC builds (TX, MO, SC).Key ResponsibilitiesDeployment Execution
  • Own the master project plan, RAID log, and critical path for each cluster deployment from PO through customer acceptance
  • Drive site readiness across power, cooling, structured cabling, network, and physical security
  • Manage hardware logistics: GPU/server/networking receipt, staging, rack-and-stack, burn-in, and acceptance testing
  • Coordinate cross-functional teams across Architecture, Engineering, Managed Services, and Field Operations
Vendor and Partner Management
  • Manage MDC, EPC, OEM, and colocation vendor schedules and deliverables (e.g., Mod42, Collier, CoreSite, Equinix)
  • Run weekly vendor scorecards; escalate slips, change orders, and dependency risks
  • Coordinate freight, cargo insurance, customs (where applicable), and high-value GPU shipment receiving
Customer delivery
  • Serve as primary technical PM interface to customers from kickoff through go-live and handoff to CSM
  • Maintain customer-facing schedules, status reports, and milestone communications
  • Coordinate acceptance testing, SLA baseline validation, and project closeout documentation
Financial and contractual
  • Track project budget, capex/opex burn, vendor invoicing, and milestone-based payments against the service order or MSA
  • Flag scope changes and drive change-order process with Sales, Legal, and Finance
  • Partner with Finance on revenue recognition triggers (deposit, MRC start, true-up)
Governance and reporting
  • Produce weekly executive status (Sabur/Tom/Armar) and customer status reports
  • Maintain deployment runbooks, lessons learned, and template artifacts to scale future builds
Experience & QualificationsRequired
  • 5+ years PM experience delivering data center, colocation, or large-scale infrastructure projects
  • Demonstrated ownership of multi-million dollar deployments with vendor, customer, and internal stakeholder coordination
  • Strong working knowledge of data center physical infrastructure (power, cooling, cabling, racks) and IT infrastructure (compute, storage, networking)
  • Proficient with project tooling (MS Project, Smartsheet, Asana, or equivalent) and standard collaboration stack (M365, Slack)
  • Excellent written communication; comfortable producing exec-ready status and customer-facing updates
Preferred
  • Direct experience deploying GPU clusters (NVIDIA HGX/DGX, B200/B300/GB300) or HPC/AI infrastructure
  • Experience with modular data center (MDC) builds or greenfield site delivery
  • Familiarity with InfiniBand/RoCE fabrics, liquid cooling, and high-density power designs
  • PMP, PRINCE2, or equivalent certification
  • Background working with hyperscaler, AI lab, or enterprise AI customers

Success Metrics (first 12 months)
  • On-time go-live across assigned deployments vs. contracted dates
  • Budget variance within ±5% of approved plan
  • Customer acceptance and CSAT at handoff
  • Reduction in deployment cycle time across repeat build patterns
  • Quality of project documentation and post-mortem outputs

Travel Up to 40% to deployment sites and customer locations.Compensation
  • Full-Time, Exempt
  • $125,000-$165,000/year, DOE
Benefits
  • Health Coverage – Medical, Dental & Vision
  • FSA Health and Dependent Care available
  • 401(k) Plan
  • Unlimited Paid Time Off (PTO)
  • Observed Holidays Paid
  • Cell Phone Allowance
  • Collaborative, growth-driven culture
Candidates must be U.S. Citizens or Permanent Residents. We are unable to provide sponsorship at this time

Employment is contingent upon the successful completion of a background check and reference verification. All applicants must be authorized to work in the United States on a full-time basis.

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