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Remote Ot Network Engineer Jobs in Michigan (NOW HIRING)

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Understanding of networking concepts and security best practices Salary Range: $160,000 to $190,000 ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

... compute, storage, networking, and IAM. * 2+ years of experience authoring and maintaining ... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master ...

New

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

... network models and architectures (CNNs, transformers) with significant experience applying them for ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

Office Our Approach to Office Workplace Type Certain positions outside our branch network may be ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Belle trains and manages a network of nail technicians or "Community Health Workers" who provide in ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Showing results 41-60

Remote Ot Network Engineer information

What is the difference between Remote Ot Network Engineer vs Remote Network Engineer?

AspectRemote Ot Network EngineerRemote Network Engineer
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentTelecommuting, client sites, data centersTelecommuting, corporate offices, data centers
Industry UsageIndustrial automation, OT systems, manufacturingIT infrastructure, corporate networks, data centers
Job FocusOT network security, industrial protocols, system integrationNetwork setup, troubleshooting, security, and maintenance

The Remote Ot Network Engineer and Remote Network Engineer roles share certifications and work environments but differ mainly in industry focus. The Ot Network Engineer specializes in industrial and operational technology networks, while the Network Engineer focuses on IT infrastructure across various sectors.

What are the key skills and qualifications needed to thrive as a remote OT network engineer?

To thrive as a Remote OT Network Engineer, you need a solid background in network engineering, industrial control systems (ICS), and operational technology security, typically supported by a relevant degree and certifications such as Cisco CCNA/CCNP or GIAC GICSP. Familiarity with SCADA systems, firewalls, VPNs, and remote monitoring tools is essential for managing and securing OT networks. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical issues clearly are critical soft skills for this role. These skills ensure the reliability, safety, and security of critical infrastructure while effectively supporting remote operations.

What is a remote OT network engineer?

A Remote OT (Operational Technology) Network Engineer is a professional who designs, implements, and manages the networks that support industrial systems and processes, such as those found in manufacturing plants, utilities, and critical infrastructure. They work remotely to ensure the reliability, security, and efficiency of networks that connect operational devices like sensors, controllers, and industrial machines. These engineers play a key role in integrating IT and OT environments, troubleshooting connectivity issues, and protecting against cybersecurity threats. Their work helps maintain continuous and safe operations in industries that rely heavily on technology.

How does a remote OT network engineer typically collaborate with on-site teams to address urgent network issues?

As a Remote OT Network Engineer, collaboration with on-site teams is essential, particularly when troubleshooting critical network incidents. You’ll often rely on clear documentation, remote diagnostics, and regular video or phone communication to guide on-site technicians through physical checks and interventions. Building strong relationships with local staff and establishing effective escalation procedures ensures that urgent issues are resolved efficiently, even when you’re not physically present. Familiarity with remote management tools and a proactive communication style are key to success in this environment.
What are popular job titles related to Remote Ot Network Engineer jobs in Michigan? For Remote Ot Network Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Remote Ot Network Engineer jobs? Cities in Michigan with the most Remote Ot Network Engineer job openings:
Infographic showing various Remote Ot Network Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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.
We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata's off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with deep technical ownership and cross-team visibility. This engineer will build and maintain the systems that keep our platform running, help shape infrastructure and deployment best practices, and support less experienced engineers. This engineer will partner closely with on-device and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale.
Responsibilities
  • Support the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability
  • Contribute to strategic planning on how infrastructure solutions evolve to match Data Center partner requirements
  • Design, implement, and maintain scalable and reliable systems on AWS and/or on-premise
  • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources
  • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs)
  • Support SOC2 security compliance requirements for data handling
  • Guide team members in DevOps practices, promoting a culture of reliability and excellence
  • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention
  • Collaborate with cross-functional teams to build and maintain CI/CD pipelines
  • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions
  • Participate in on-call rotations and incident response teams
  • Assist in capacity planning, performance tuning, and technical decision-making
  • Drive continuous improvement initiatives for processes and infrastructure
Minimum Qualifications
  • 8+ years of development experience including experience in platform engineering, SRE, or distributed systems, with demonstrated senior-level impact
  • Experience designing and operating infrastructure across on-premises and cloud environments
  • Strong proficiency in container orchestration, particularly Kubernetes
  • Strong proficiency with AWS services and architecture
  • Hands-on experience with Terraform for infrastructure automation
  • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills, with experience contributing to technical outcomes
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure
  • AI workload scheduling using Kubernetes
  • Knowledge of Apache Spark for large-scale data processing
  • Knowledge of database technologies (SQL, NoSQL)
  • Understanding of networking concepts and security best practices

Salary Range: $160,000 to $190,000 base compensation depending on experience and 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 is based at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
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