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Data Center Computer Operator Jobs in Detroit, MI

... Data Center Real User monitoring, Server Vantage, Service Manager, Outlook and general office applications. Qualifications 1. Batch processing using CA-7 for Mainframe (3 to 5 years) and Tivoli ...

Call Center Specialist

Detroit, MI · On-site

$15.25 - $19.25/hr

Experience entering and maintaining accurate participant records and program data. Duties and ... Ability to sit at a computer terminal for an extended period. Physical requirements: * While ...

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Data Center Computer Operator information

See Detroit, MI salary details

$40.1K

$149.4K

$244.8K

How much do data center computer operator jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data center computer operator in Detroit, MI is $149,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $204,700.00 per year, depending on experience, location, and employer.

What is an entry-level job at a data center?

An entry-level job at a data center for a Data Center Computer Operator typically involves monitoring and maintaining server hardware, managing equipment, and ensuring system uptime. These roles often require basic technical skills, familiarity with data center environments, and may involve shift work or on-the-job training. Certifications like CompTIA Server+ can be beneficial for starting in this field.

What tech jobs pay 400,000 a year?

Data center computer operators typically do not earn $400,000 annually; high-paying tech roles such as software engineers, IT directors, and cloud architects can reach or exceed this level with extensive experience, advanced skills, and often require specialized certifications. Executive positions like CTOs or senior cybersecurity leaders also tend to have salaries in this range. These roles usually involve leadership, strategic planning, and advanced technical expertise.

What is the difference between Data Center Computer Operator vs Network Technician?

AspectData Center Computer OperatorNetwork Technician
CredentialsTypically requires a high school diploma or equivalent; certifications like CompTIA A+ are commonRequires certifications such as CompTIA Network+ or Cisco CCNA
Work EnvironmentData centers, server rooms, and IT facilitiesNetwork infrastructure sites, offices, and data centers
Job FocusMonitoring, maintaining, and operating data center hardware and systemsInstalling, troubleshooting, and repairing network hardware and connectivity
Employer & Industry UsageData centers, IT service providers, large corporationsTelecommunications, IT services, enterprise networks

While both roles support IT infrastructure, Data Center Computer Operators focus on managing data center hardware and systems, whereas Network Technicians specialize in network connectivity and troubleshooting. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Data Center Computer Operator, and why are they important?

To thrive as a Data Center Computer Operator, you need a solid understanding of computer systems, server hardware, and network operations, usually supported by an associate degree or relevant certifications like CompTIA Server+ or Cisco CCNA. Familiarity with data center infrastructure management (DCIM) tools, ticketing systems, and basic scripting languages is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for addressing technical issues and coordinating with teams. These skills and qualities are important for ensuring data center uptime, efficient operations, and rapid response to system incidents.

How to become a data centre operator?

To become a data center operator, candidates typically need a high school diploma or equivalent, along with technical skills in computer hardware, networking, and systems management. Relevant certifications such as CompTIA Server+ or Cisco CCNA can improve job prospects, and on-the-job training is common for learning specific equipment and procedures.

What are the typical challenges faced by a Data Center Computer Operator during daily operations?

Data Center Computer Operators often encounter challenges such as managing multiple system alerts simultaneously, responding quickly to hardware malfunctions, and ensuring minimal downtime during maintenance or upgrades. They must also adhere to strict protocols for data security and follow detailed documentation procedures. Collaborating with network engineers and IT support teams is crucial to quickly resolve issues and maintain seamless data center operations.

What are Data Center Computer Operators?

Data Center Computer Operators are professionals responsible for monitoring, maintaining, and supporting computer systems and servers within a data center. They ensure hardware and software are functioning properly, perform routine checks, troubleshoot technical issues, and coordinate with IT teams to resolve problems. Their work is critical to maintaining uptime and reliability for the data center’s operations, which often support essential business applications and services.

How much do data center operators make?

Data center operators typically earn between $40,000 and $70,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced operators with specialized skills can earn higher salaries, especially in large or high-demand facilities.
What are popular job titles related to Data Center Computer Operator jobs in Detroit, MI? For Data Center Computer Operator jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Center Computer Operator jobs in Detroit, MI look for? The top searched job categories for Data Center Computer Operator jobs in Detroit, MI are:
Infographic showing various Data Center Computer Operator job openings in Detroit, MI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $149,370 per year, or $71.8 per hour.
Application Engineer, Data Center Software

Application Engineer, Data Center Software

Utilidata

Ann Arbor, MI • On-site, Remote

$165K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Key responsibilities

  • Work directly with customer data center operations and engineering teams to assess software environments, lead integration discussions, and translate requirements into actionable designs.

  • Design, develop, and validate custom API connectors between Karman and customer-specific data center software systems.

  • Validate server builds against Karman's software requirements by writing and executing configuration checkers and test suites for installation across customer environments.


Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are looking for an Application Engineer, Data Center Software to join our Technical Programs team. This is a founding role in a new Application Engineering function, responsible for building the integration layer - custom API connectors, configuration checkers, and test frameworks - between Karman and the diverse software environments operated by our data center customers. This person will work directly with customer operations and engineering teams to define requirements, lead technical discussions, and translate customer needs into integration designs. Because the integration surface is still being defined, this role carries real influence over how Karman's software integrations take shape, including the processes, tools, and standards that future engineers will build on. We are looking for candidates who are technically deep, customer-savvy, and energized by the challenge of building new integration surfaces in a fast-moving product environment.
Responsibilities
  • Work directly with customer data center operations and engineering teams to assess software environments, lead integration discussions, and translate requirements into actionable designs across DCIM platforms, custom dashboards, hypervisors, and management APIs
  • Design, develop, and validate custom API connectors between Karman and customer-specific data center software systems
  • Validate server builds against Karman's software requirements; write and execute configuration checkers and test suites for installation across customer environments
  • Conduct benchmark-driven and exploratory performance testing to identify and resolve bottlenecks
  • Debug integration issues and installation failures independently, leveraging deep familiarity with the Karman platform built through close collaboration with internal software engineering teams
  • Drive execution and sign-off of software installation requirement checklists for each customer engagement
  • Take an AI-first approach to automating processes and generating test frameworks, configuration checkers, integration artifacts, and deployment documentation
  • Build the software integration playbook - repeatable processes, templates, and documentation that scale the function beyond individual customer engagements
  • Create and maintain software integration artifacts, including SW validation checklists, test plans, configuration guides, KPI trackers, and After-Action Reports
  • Participate in roadmap meetings, engineering design reviews, and sprint planning to maintain a current understanding of the Karman platform
  • Serve as the feedback loop between customer deployments and core engineering, translating integration learnings into platform improvements
  • Support the TechOps team with software integration expertise for escalated production incidents related to initial installation

Minimum Qualifications
  • 8+ years of experience in systems integration, application engineering, solutions engineering, platform engineering, or related technical roles supporting enterprise software deployments in data center environments
  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or similar field OR equivalent training and on the job experience
  • Strong working knowledge of Linux-based environments, including software installation, system configuration, troubleshooting, and validation
  • Demonstrated ability to design and implement API integrations between disparate software systems, including REST APIs and other common patterns
  • Experience working with containerized and virtualized environments, including the ability to understand and troubleshoot customer deployment architectures
  • Experience developing integration validation tools, configuration checks, test automation, or deployment verification processes for enterprise software environments
  • Ability to develop scripts, automation, and integration tooling using Python or Rust
  • Familiarity with APIs, messaging frameworks, and integration technologies such as REST, gRPC, Kafka, Protobuf, or similar technologies
  • Strong communication and interpersonal skills with the ability to engage customer data center operations teams and translate requirements into integration designs
  • Demonstrated ability to work independently and own complex technical problems end-to-end
  • High learning agility across diverse customer software environments
  • Experience integrating with DCIM platforms, hypervisors, or data center management APIs (e.g., Redfish, IPMI, or vendor-specific management interfaces)
  • Experience working directly with customers, stakeholders, or cross-functional technical teams to gather requirements, design solutions, and troubleshoot complex integration challenges

Enhanced Qualifications (Nice to Have)
  • Familiarity with observability and monitoring tooling common in data center environments (e.g., Prometheus, Grafana)
  • Experience building or contributing to structured software integration processes, checklists, or validation frameworks
  • Experience with GitOps-based deployment workflows (e.g., ArgoCD, Helm)

Salary Range: $165,000 to $195,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k