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Remote 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 ... fully remote candidates, with periodic travel expected for company retreats and key on-site ...

FastTek

Infrastructure Engineering Engineer

Lansing, MI · On-site +1

$109K - $143K/yr

Infrastructure Engineering Engineer #1055763 Position Description: Employees part of this function are responsible for building and operating IT hardware and software resources in on-prem, cloud or ...

OneStream Software

Senior SysOps Engineer

Rochester, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... Infrastructure automation using PowerShell, Terraform, REST, etc. and familiarization with ...

OneStream Software

Senior SysOps Engineer

Birmingham, MI · Remote

$120K - $149K/yr

Remote, USA Employment Type : Full-Time Compensation : $120,000.00 - $149,000.00 (Range applies to ... Infrastructure automation using PowerShell, Terraform, REST, etc. and familiarization with ...

CertifID

Senior Site Reliability Engineer

Grand Rapids, MI · On-site +1

$54.75 - $72.75/hr

You'll play a critical role in building scalable infrastructure patterns, advancing observability ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

CertifID

Senior Site Reliability Engineer

Grand Rapids, MI · On-site +1

$54.75 - $72.75/hr

You'll play a critical role in building scalable infrastructure patterns, advancing observability ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

Nityo Infotech

Network Cloud Engineer

Ann Arbor, MI · Remote

This is remote position. Below is the detailed . If interested & want to discuss more about the ... Experience designing and deploying GCP public cloud infrastructures and services Hands on ...

Nityo Infotech

Network Cloud Engineer

Ann Arbor, MI · On-site +1

This is remote position. Below is the detailed If interested & want to discuss more about the role ... Required/ Preferred skills: • Experience designing and deploying GCP public cloud infrastructures ...

Deloitte

Databricks Engineer

Detroit, MI · On-site +1

Support platform configuration, infrastructure setup, testing, and deployment readiness across ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Hewlett Packard Enterprise Development LP

Presales Systems Engineer This role has been designated as 'Remote/Teleworker', which means you ... The preferred candidate will have career level experience with networking infrastructure ...

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$40.5K

$110.8K

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How much do remote infrastructure engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote 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 is a Remote Infrastructure Engineer job?

A Remote Infrastructure Engineer is responsible for designing, managing, and maintaining an organization's IT infrastructure, including servers, networks, cloud environments, and security systems, while working remotely. They ensure system reliability, optimize performance, troubleshoot issues, and implement new technologies to support business operations. This role requires expertise in networking, cloud computing, automation, and cybersecurity, often working with tools like AWS, Azure, VMware, and monitoring systems. Effective communication and problem-solving skills are essential, as they collaborate with teams to resolve technical challenges.

What are the key skills and qualifications needed to thrive in the Remote Infrastructure Engineer position, and why are they important?

To thrive as a Remote Infrastructure Engineer, you need a strong background in network administration, cloud computing, and server management, often paired with a degree in computer science or related field. Familiarity with tools like AWS, Azure, Docker, Kubernetes, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are typically expected. Excellent problem-solving abilities, proactive communication, and strong organizational skills help you manage tasks independently and collaborate across dispersed teams. These capabilities are crucial for maintaining reliable, secure infrastructure and supporting seamless remote operations for organizations.

What are the typical daily tasks of a Remote Infrastructure Engineer?

As a Remote Infrastructure Engineer, your daily responsibilities generally include monitoring system performance, deploying updates and patches, managing cloud resources, and troubleshooting network or server issues. You'll often work closely with development and security teams to ensure optimal infrastructure performance, automate routine processes, and uphold security standards. Collaboration through project management platforms and remote communication tools is common to keep the team aligned. The role frequently involves both scheduled maintenance and responding to urgent incidents, offering a dynamic and impactful work environment.
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Remote 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 17 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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