Datacenter Technician
3 weeks ago
6-12 month contract, potential extensions up to 18 months, possible conversion after
Fully onsite - shift times
Shifts: *Please lock down for whichever available*
Sunday-Tuesday and every other Wednesday 6AM-6PM
Sunday-Tuesday and every other Wednesday 6PM-6AM
Thursday-Saturday and every other Wednesday 6AM-6PM
Thursday-Saturday and every other Wednesday 6PM-6AM
AKA - 36 hour week then 48 hour week (8 hours of overtime every other week)
Required Skills & Experience
Education: • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience. Experience: • 5+ years of experience in data center operations or IT support • Hands-on experience with data center technologies such as virtualization, cloud computing, and networking. Technical Skills: • Proficiency in server hardware configuration, RAID setups, and backup solutions. • Knowledge of networking protocols and configurations (TCP/IP, VLANs, etc.). Soft Skills: • Strong problem-solving abilities and attention to detail. • Excellent communication skills and a team-oriented mindset. Preferred Qualifications: • Experience with data center automation and orchestration tools. • Certifications in relevant technologies (e.g., NVIDIA Certified Professional, CompTIA, Cisco). Working Conditions: • Ability to lift heavy equipment and work in a fast-paced environment. • Willingness to work on-call and flexible hours as required.
Nice to Have Skills & Experience
CompTIA A+
Bachelors degree in IT
Previous Data Center experience
Job Description
Position Overview: We are seeking a skilled Data Center Technician/Engineer with a strong background in data center operations and experience with rack deployments & hardware technologies. The ideal candidate will be responsible for maintaining, monitoring, and optimizing data center infrastructure to ensure efficient performance and reliability. Key Responsibilities: • Infrastructure Management: • Install, configure, and maintain server hardware, storage systems, and networking equipment, including GPUs. • Monitor system performance, troubleshoot issues, and perform routine maintenance. • Manage and optimize GPU workloads for AI, machine learning, and data processing applications. • Monitoring and Reporting: • Utilize monitoring tools to track performance metrics and identify potential issues. • Generate reports on system performance and capacity planning. • Documentation and Compliance: • Maintain accurate documentation of configurations, procedures, and inventory. • Ensure compliance with data center policies and industry standards. • Collaboration: • Work closely with cross-functional teams to support project deployments and upgrades. • Provide technical support and training to team members and end-users. pay rate for this is between 25-40/hr
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