Support & Deployment Engineer

Reposted 7 Days Ago
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Sderot
In-Office
Mid level
Hardware • Information Technology • Software
The Role
The Support & Deployment Engineer is responsible for deploying solutions, providing technical support, collaborating with teams, and managing customer issues in data centers.
Summary Generated by Built In

PRIMARY RESPONSIBILITIES

Solution Deployment

  • Perform all Deployment-related tasks needed e.g. design ,installation, document, etc.
  • Provide technical solutions, architecture and corresponding collateral e.g. layouts, drawings, configurations, specs, calculations and associated TCO models, product specifications and testing plans.
  • Collect and analyze the requirements from all entities pertinent to the project.
  • Identify needs that require involving external Data Center Solutions Engineering, work with these resources, and verify their alignment with deployment plans.
  • Working closely with Program Management; Communicate, coordinate and work with the various internal departments and functions to address all technical aspects of the project, e.g.:
    • Logistics - equipment availability, manufacturing and shipping schedules.
    • Product documentation.
    • Physical installation of the system and onboarding of staff onsite.

Solution Support

  • Deliver timely and accurate remote and onsite technical support for deployed ZutaCore solutions to Customers and Partners.
  • Take strict and proactive end-to-end ownership of Customer/Partner reported issues from issue report to Customers’/Partners’ acceptance of the resolution (email, phone, onsite), including:
    • Remote issue diagnosis and troubleshooting.
    • On-site assistance if required.
    • Case escalation management.
    • Detailed record keeping (Support Case) of reported issues, including photos and videos provided by partner or customer.
    • Identify opportunities, help map the customer/partner journey, identify risks and raise appropriate flags.
    • Issue replication in the lab.
    • Resolution documentation and delivery.
    • Provide timely status updates to Customers/Partners on open cases.
    • Work/collaborate closely with the Engineering, QA and Operations teams to solve complex issues.
    • Timely follow-up with partners and customers to keep them informed of the status and issue resolution activities.
  • Creation of Knowledge-based articles.
  • Review and provide input into product and maintenance documentation development.

EXPERIENCE AND EDUCATION

  • Detail-oriented with strong technical troubleshooting and problem-solving skills.
  • Experience with customer support case management systems and related processes.
  • A self-motivated team player with superb time and multi-project management skills.
  • Experience and hands-on working knowledge of:
    • HVAC systems, including facility water loops, chillers, CRAC units, CRAH units, and their integration.
    • Working knowledge of data center electrical power systems, including voltage, phase, current (amperage), and power distribution.
  • Experience delivering remote and onsite support for IT technologies in large-scale Data Center operations.
  • Strong written and verbal customer and cross-functional team communication skills.
  • A self-motivated team player with superb time and multi-project management skills.
  • Able to travel internationally as required.
  • Degree in Mechanical Engineering, or relevant technical field-advantage.

Top Skills

Customer Support Case Management Systems
Data Center Electrical Power Systems
Hvac Systems
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The Company
HQ: San Jose, California
109 Employees
Year Founded: 2016

What We Do

ZutaCore’s waterless, direct-to-chip liquid cooling, with its exclusive pool boiling technology, represents a fundamental shift from traditional air or single-phase liquid cooling. Instead of moving heat away gradually, it removes it instantly at the source by turning liquid into vapor, keeping processors consistently cool even under the most extreme workloads.

For operators, the impact is immediate:

Higher performance per rack — Run more AI and HPC workloads in the same footprint.
Lower energy costs — Drive PUE and pPUE closer to the ideal of 1.0, cutting power bills dramatically.
Greater reliability — Eliminate risks of condensation, corrosion, or hardware damage.
Sustainability gains — Reduce both water and electricity use, accelerating ESG progress.

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