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Infrastructure Engineer Jobs in Michigan (NOW HIRING)

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata\'s AI and ML models across edge deployments, cloud environments ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments ...

Aep

Infrastructure Engineer Prin

Bridgman, MI

$98K - $128K/yr

Provide day-to-day support for network infrastructure (routers, switches, firewalls) in a regulated ... Bachelor's degree in computer science, engineering, or related technical field is required. Work ...

Stefanini

Azure Infrastructure Engineer

Dearborn, MI

$99K - $129K/yr

Stefanini is looking for an Infrastructure Engineer (Dearborn, MI) For quick apply, please reach out to Fardeen Ali at / We are looking for candidate who is responsible for building and operating ...

1 point system

Infrastructure Engineer

Lansing, MI · On-site

$109K - $143K/yr

Education and Experience Required : Bachelor's degree or equivalent experience. Knowledge and experience: * VDI upgrades/Patches * VMWare Patching/Upgrading * SQL Server installation/Upgrades ...

KLA

Senior AI Infrastructure Engineer

Ann Arbor, MI · On-site

$106K - $144K/yr

They are seeking a Senior AI Infrastructure Engineer to develop modern AI models that detect nanoscale defects and drive the development of intelligent systems for semiconductor technology.

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Infrastructure Engineer information

See Michigan salary details

$40.5K

$110.8K

$158.6K

How much do infrastructure engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for infrastructure engineer in Michigan is $110,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $122,900.00 per year, depending on experience, location, and employer.

What do infrastructure engineers do?

Infrastructure engineers design, implement, and maintain the hardware, networks, and systems that support an organization’s IT environment. They work with servers, cloud services, and networking equipment, often using tools like automation scripts and monitoring software to ensure system reliability and security.

What are Infrastructure Engineers?

Infrastructure Engineers are IT professionals responsible for designing, building, managing, and maintaining the foundational technology systems that support organizations. This includes servers, networks, storage, virtualization, and cloud resources. Their main goal is to ensure a reliable, secure, and scalable infrastructure that enables business operations and supports application needs. They often collaborate with other IT teams to implement new technologies, troubleshoot issues, and optimize system performance.

What engineers make $300,000 a year?

Senior infrastructure engineers, cloud engineers, and site reliability engineers with extensive experience, specialized skills, and certifications such as AWS or Google Cloud can earn $300,000 or more annually. These roles often require advanced knowledge of networking, automation, and large-scale system management, typically in high-demand industries or organizations with complex infrastructure needs.

What are some common challenges Infrastructure Engineers face when managing large-scale systems?

Infrastructure Engineers often encounter challenges such as ensuring system scalability, maintaining high availability, and minimizing downtime during updates or incidents. Managing complex environments requires balancing security, performance, and cost efficiency while supporting rapid growth or changes in business needs. Effective communication and collaboration with development, security, and operations teams are also crucial to address issues quickly and maintain seamless service delivery.

What are the key skills and qualifications needed to thrive as an Infrastructure Engineer, and why are they important?

To thrive as an Infrastructure Engineer, you need a solid understanding of networking, operating systems, cloud platforms, and infrastructure architecture, often supported by a degree in computer science or related fields. Familiarity with tools like AWS, Azure, VMware, automation frameworks (e.g., Ansible, Terraform), and relevant certifications such as AWS Certified Solutions Architect or CompTIA Network+ is typical. Strong problem-solving, communication, and teamwork skills help you collaborate across IT and business units and respond effectively to incidents. These skills and qualities are crucial for ensuring system reliability, security, and scalability in complex technology environments.

Are infrastructure engineers in demand?

Infrastructure engineers are in high demand due to the increasing reliance on cloud computing, data centers, and network systems. Organizations seek professionals skilled in network architecture, server management, and automation tools to maintain and improve their IT infrastructure.

What is the difference between Infrastructure Engineer vs Network Engineer?

AspectInfrastructure EngineerNetwork Engineer
CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNPCompTIA Network+, Cisco CCNA, Cisco CCNP
Work EnvironmentData centers, cloud environments, enterprise IT infrastructureNetwork operations centers, enterprise networks, ISP environments
ResponsibilitiesDesigning, implementing, maintaining IT infrastructure, servers, cloud systemsDesigning, configuring, troubleshooting network hardware and connectivity
Industry UsageIT companies, cloud providers, large enterprisesTelecommunications, ISPs, large organizations with complex networks

While both roles require similar certifications and work in enterprise environments, Infrastructure Engineers focus on overall IT infrastructure including servers and cloud systems, whereas Network Engineers specialize in network hardware and connectivity. Understanding these differences helps in choosing the right career path or job search focus.

What engineers make $500,000?

Senior infrastructure engineers, especially those with extensive experience, specialized skills in cloud platforms, and certifications like AWS or Cisco, can earn $500,000 or more annually. High compensation is often associated with leadership roles, working in high-demand industries, or managing large-scale, complex systems.

What Is an Infrastructure Engineer?

An infrastructure engineer ensures that their organization’s computer network infrastructure functions properly. As an infrastructure engineer, you monitor computer systems, improve IT applications, and troubleshoot infrastructure problems. Exact job responsibilities vary widely depending on the employer, but typical duties involve working with storage and hosting technologies, monitoring computer software and hardware, installing servers, and developing cloud-based infrastructure. Infrastructure engineer positions are available in all industries, especially those with a heavy reliance on technology. This career requires extensive experience working with computers and the ability to stay current with emerging technologies and trends.

More about Infrastructure Engineer jobs
What are the most commonly searched types of Infrastructure Engineer jobs in Michigan? The most popular types of Infrastructure Engineer jobs in Michigan are:
What are popular job titles related to Infrastructure Engineer jobs in Michigan? For Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Infrastructure Engineer jobs in Michigan look for? The top searched job categories for Infrastructure Engineer jobs in Michigan are:
What cities in Michigan are hiring for Infrastructure Engineer jobs? Cities in Michigan with the most Infrastructure Engineer job openings:
What are popular job titles related to Infrastructure Engineer jobs in MI? For Infrastructure Engineer jobs in MI, the most frequently searched job titles are:
Infrastructure Engineer jobs near you
AI Infrastructure Engineer

AI Infrastructure Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

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.
The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata\'s AI and ML models across edge deployments, cloud environments, and data center integrations. They are also responsible for designing, building, and owning the integration of power data with AI inference software.  This is Utilidata\'s first dedicated role of this kind, and will serve as the foundational function for how the company deploys and operates AI capabilities in production. The role requires deep technical expertise in ML model serving, distributed systems, and GPU infrastructure, with a strong emphasis on reliability, performance, and scalability. This position works cross-functionally with product, engineering, and data science teams and is open to fully remote candidates, with periodic travel expected for company retreats and key on-site engagements.
Responsibilities
  • Lead the design and build of Utilidata\'s AI inference platform — establishing architecture patterns, deployment standards, and operational practices that will scale with the company
  • Own end-to-end model serving infrastructure for Utilidata\'s AI infrastructure (on-prem and datacenter) 
  • Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a focus on low latency, reliability, and cost efficiency
  • Collaborate closely with algorithms engineers to integrate AI inference data and configuration with power optimization algorithms 
  • Optimize GPU utilization and inference performance across our hardware fleet, including NVIDIA accelerators central to Utilidata\'s edge AI platform
  • Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and rollback across environments
  • Contribute to infrastructure roadmap decisions, including build vs. buy tradeoffs, tooling selection, and platform evolution as the team grows

Minimum Qualifications 
  • 5+ years of software engineering experience with a strong focus on AI infrastructure, backend systems, or distributed systems
  • Hands-on experience with AI model serving frameworks (e.g., vLLM, SGLang, Triton, TensorRT, TorchServe, or similar)
  • Understanding of container orchestration and cluster management (Kubernetes, Docker)
  • Experience deploying and operating infrastructure across both datacenter and on-prem environments
  • Strong knowledge of GPU workloads and the tradeoffs that come with them — you understand how inference differs from training, and why it matters
  • Proficiency in Python; C++, CUDA, Go, Rust a plus
  • Excellent communication skills and comfort working cross-functionally in a lean, fast-moving environment
  • Willingness to travel up to 10% of time 

Enhanced Qualifications (Nice to Have) 
  • Dynamo experience a plus
  • Experience with edge AI deployments or constrained compute environments
  • Familiarity with infrastructure as code (Terraform, Helm)
  • Experience with observability platforms (Datadog, Prometheus, Grafana)
  • Background in energy, utilities, or industrial IoT
  • Contributions to open-source ML infrastructure projects

Salary Range: $170,000 to $210,000 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

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