Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Insight Global

ARDET DCT L3 - PHX

Career Insights for Data Center Technician / Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Arizona data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Center Technician or Engineer organizes data access, maintenance and access support to a data center. Maybe help to store and organize data, such as an organization's records or financial information. Ensures that users can easily access the information they need and that data are protected from unauthorized access.

$52,496 / year median in Arizona

+6% projected growth

Explore Career

Job Description

Job Description Position Summary Microsoft's Cloud Operations & Innovation (CO+I) organization is seeking an experienced L3 Data Center Deployment Technician to support large-scale data center expansion, network deployment, operational support, and AI infrastructure initiatives across Microsoft's global data center footprint. This is a senior-level, hands-on technical position focused on the deployment, troubleshooting, and support of critical network and compute infrastructure in hyperscale environments. The ideal candidate will have extensive experience in new-build data center deployments, network infrastructure implementation, and advanced troubleshooting of production environments. This role requires individuals who can independently diagnose and resolve complex issues, support high-priority escalations, and maintain deployment momentum during business-critical operational events. Candidates should be comfortable working in rapidly changing environments and partnering with engineering, operations, and deployment teams to ensure successful project execution. Due to the growing importance of AI infrastructure, candidates with experience supporting GPU networking environments and large-scale compute deployments are highly desired. Key Responsibilities Network Deployment & Infrastructure Support Deploy, install, validate, and troubleshoot network infrastructure in active and new-build Microsoft data centers. Support front-end and back-end network deployment activities, including network stamp deployments and capacity expansion projects. Perform installation, testing, and troubleshooting of switches, routers, optics, copper cabling, and fiber infrastructure. Support large-scale deployment programs while ensuring adherence to quality, safety, and operational standards. Conduct post-deployment validation and connectivity testing to ensure infrastructure readiness. Advanced Troubleshooting & Operational Support Act as an L3 escalation resource for complex deployment and production issues. Troubleshoot Layer 1 through Layer 3 networking issues involving hardware, optics, cabling, and connectivity. Quickly identify root causes, develop corrective actions, and drive issues through resolution. Support critical operational events and high-priority escalations without impacting deployment schedules. Partner closely with Network Engineering, Operations, and other technical teams to resolve infrastructure issues.
GPU & AI
Infrastructure Support Support deployment and operational activities within GPU-enabled and AI-focused data center environments. Assist with implementation and troubleshooting of GPU back-end networking infrastructure. Support validation and operational readiness of AI and machine learning compute clusters. Troubleshoot network connectivity challenges associated with large-scale compute environments. Data Center Operations Perform rack-and-stack activities for network and compute infrastructure. Complete hardware break/fix activities, upgrades, refreshes, decommissions, and lifecycle management tasks. Investigate and resolve fiber optic and copper cabling issues. Support deployment, relocation, and installation efforts across multiple data center locations. Maintain accurate documentation and asset tracking throughout deployment projects. Schedule & Work Environment Standard schedule is Monday through Friday, 9 hours per day (approximately 45 hours per week). Must be flexible to adjust shifts, schedules, and start times based on business needs, deployment windows, and operational priorities. Opportunities for overtime are available, with technicians able to work up to 60 hours per week based on project demand and business requirements. Must be comfortable working in active construction, deployment, and production data center environments. Travel between Microsoft data center locations may be required depending on project needs and deployment schedules. Ability to support occasional after-hours maintenance windows, escalations, and critical operational events. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Required Qualifications (Must-Haves) 3+ years of experience in data center deployments, network operations, infrastructure support, or related technical environments. Must have at least 1 year of experience in a hyperscale data center Proven experience supporting new-build network deployments and network stamp deployments. Strong hands-on network troubleshooting experience, including: Layer 1 through Layer 3 troubleshooting Network connectivity validation Fiber optic infrastructure Copper cabling systems Network switching technologies Experience with front-end and back-end network infrastructure deployments. Experience installing, troubleshooting, and supporting network devices in production environments. Ability to independently diagnose issues and drive resolutions during escalations and operational events. Experience working in mission-critical environments where uptime and execution quality are essential. Strong verbal and written communication skills. Ability to travel between sites based on project requirements. Ability to lift, rack, install, and support data center hardware in accordance with safety requirements. Preferred Qualifications (Plusses) Experience supporting hyperscale cloud environments such as Microsoft, AWS, Google, Meta, Oracle, or other large-scale enterprise data centers. Experience supporting GPU networking environments, AI infrastructure, or high-performance computing (HPC) environments. Familiarity with GPU cluster deployments and related back-end network infrastructure. Experience with leaf-spine architectures and large-scale data center networking. Knowledge of network validation testing and deployment quality assurance processes. Experience supporting large-scale AI infrastructure deployment programs. Familiarity with InfiniBand, RoCE, or other high-performance networking technologies. Experience working in fast-paced deployment environments with concurrent projects and shifting priorities.
Industry certifications such as:
CCNA CCNP JNCIA/JNCIS
NetworkOther relevant networking certifications Ideal Candidate We are looking for a technician who is more than a rack-and-stack resource. The ideal candidate has a strong networking foundation, can confidently troubleshoot complex infrastructure issues, and has experience supporting large-scale deployments in high-visibility environments. Candidates with GPU networking and AI infrastructure experience will be highly valued, particularly those who can quickly identify issues, drive resolution, and support business-critical operations while maintaining deployment execution goals.