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TEKsystems looks for a Data Center Lab Operations Engineer to support a high-performance compute environment used for development and validation of next-generation tech. You will partner with engineering, QA, and operations to maintain infrastructure, troubleshoot complex issues, and drive improvements.
Responsibilities include maintaining a large-scale compute farm, deploying and troubleshooting with cross‑functional teams, monitoring SLA targets, leading incident recovery, deploying hardware,
We are seeking a Data Center Lab Operations Engineer to support a high-performance compute environment used for developing and validating next-generation technologies. This role will partner closely with engineering, QA, and operations teams to maintain critical infrastructure, troubleshoot complex hardware and software issues, and drive continuous improvements across compute and testing operations.
Support and maintain a large-scale compute farm consisting of builders, testers, packagers, and supporting infrastructure.
Collaborate with hardware, software, QA, and systems engineering teams to deploy, troubleshoot, and optimize engineering environments.
Monitor system health, availability, and performance while ensuring SLA targets are achieved.
Lead troubleshooting and recovery efforts for infrastructure, hardware, and software incidents.
Assist with server deployments, hardware installations, upgrades, and maintenance activities.
Develop and maintain SOPs, documentation, and operational processes.
Collect and analyze infrastructure metrics to drive improvements in reliability and efficiency.
Implement automation and process improvements using scripting and infrastructure management tools.
5+ years of experience supporting data centers, engineering labs, compute environments, or similar infrastructure operations.
Strong understanding of Linux and Windows administration.
Experience troubleshooting hardware, servers, networking, and operating systems.
Knowledge of networking fundamentals including TCP/IP, DNS, NFS, SSL, and related protocols.
Experience with scripting and automation tools such as Python, Shell, or Ansible.
Familiarity with DCIM tools and asset management platforms.
Strong documentation, communication, and problem-solving skills.
Ability to work cross-functionally with both technical and non-technical stakeholders.
Experience supporting HPC or AI/ML compute clusters.
Familiarity with Slurm, BCM, or other cluster management platforms.
Experience working with GPUs, server hardware, PCBs, and system validation environments.
CCNA or similar infrastructure certification.
Knowledge of storage, networking, and dense data center architectures.
Experience with liquid cooling technologies.
Strong mechanical aptitude and comfort working with tools and hardware installations.
Work alongside engineering teams building cutting-edge technologies.
Gain exposure to advanced compute, GPU, and infrastructure environments.
Play a key role in maintaining mission-critical systems and driving operational excellence.
Opportunity to influence automation, efficiency, and reliability initiatives.
This is a Contract to Hire position based out of Reno, NV.
The pay range for this position is $35.00 - $35.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms.
If eligible, the benefits available for this temporary role may include the following:
This is a fully onsite position in Reno,NV.
This position is anticipated to close on Sep 22, 2026.
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands‑on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.