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Remote Endpoint Device Management Engineer Jobs in Michigan

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

Data compression and schema management for device time series data * Experience implementing and ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

FastTek

Infrastructure Engineer

Lansing, MI · On-site +1

$109K - $143K/yr

Client Management Experience Required: * Engineer 2 Exp.: Practitioner: 1 coding language or ... Run multi-device queries at scale: use Intune Advanced Analytics - Device query for multiple ...

Covetrus North America LLC

$94K - $123K/yr

Chicago / Remote (US-based) Department: IT Operations & Engineering Company: Covetrus About Us ... You will work closely with IT Operations, Security, Identity, Service Management, HR, Legal, and ...

Aptar Group

Business Development Manager

Midland, MI · On-site +1

Remote position; Preferably Midwest or East Coast in US (Western Europe possible) Travel: yes ... fluid management and flow control across Medical Device applications (e.g., enteral feeding bags ...

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Remote Endpoint Device Management Engineer information

What is the difference between Remote Endpoint Device Management Engineer vs Network Operations Center (NOC) Technician?

AspectRemote Endpoint Device Management EngineerNetwork Operations Center (NOC) Technician
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Network+
Work EnvironmentRemote or on-site, focused on device management and software deploymentOn-site or remote, monitoring network infrastructure and troubleshooting
Industry UsageIT, telecommunications, enterprise techTelecommunications, internet service providers, large enterprises

The Remote Endpoint Device Management Engineer primarily manages and maintains endpoint devices like laptops, mobile devices, and desktops remotely, ensuring security and software updates. In contrast, the NOC Technician monitors network performance, troubleshoots connectivity issues, and maintains network hardware. Both roles require technical certifications and are vital in IT and telecom industries, but they focus on different aspects of network and device management.

What are some common challenges faced by Remote Endpoint Device Management Engineers, and how can they be addressed?

Remote Endpoint Device Management Engineers often encounter challenges such as ensuring device security across diverse remote environments, troubleshooting connectivity issues, and managing software updates at scale. These can be addressed by implementing robust endpoint management tools, maintaining clear documentation, and establishing strong communication channels with end users. Proactively monitoring devices and automating routine tasks can also help streamline workflows and minimize disruptions, leading to a more secure and efficient remote work environment.

What are the key skills and qualifications needed to thrive as a Remote Endpoint Device Management Engineer, and why are they important?

To thrive as a Remote Endpoint Device Management Engineer, you need expertise in endpoint security, operating systems (Windows, macOS, Linux), and device lifecycle management, typically supported by a degree in IT or a related field. Familiarity with device management platforms like Microsoft Intune, Jamf, or VMware Workspace ONE, as well as certifications such as CompTIA A+ or Microsoft Certified: Modern Desktop Administrator, is highly valued. Strong problem-solving, communication, and attention to detail are critical soft skills for efficiently addressing device issues and supporting end users remotely. These skills ensure secure, reliable device performance and a seamless user experience, which are vital for productivity in remote and hybrid work environments.

What is a Remote Endpoint Device Management Engineer?

A Remote Endpoint Device Management Engineer is a technology professional responsible for overseeing, configuring, and maintaining endpoint devices such as laptops, desktops, mobile phones, and tablets within an organization, often from a remote location. They use specialized management tools to ensure devices are secure, compliant with company policies, and up-to-date with software and security patches. Their work involves troubleshooting device issues, deploying applications, and enforcing security protocols to protect sensitive data. These engineers play a key role in supporting remote workforces and maintaining the integrity of IT environments.
What are popular job titles related to Remote Endpoint Device Management Engineer jobs in Michigan? For Remote Endpoint Device Management Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Endpoint Device Management Engineer jobs in Michigan look for? The top searched job categories for Remote Endpoint Device Management Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Endpoint Device Management Engineer jobs? Cities in Michigan with the most Remote Endpoint Device Management Engineer job openings:
Remote Endpoint Device Management Engineer jobs near you
Software Engineer, On Device

Software Engineer, On Device

Utilidata

Ann Arbor, MI • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Design, propose, plan, implement, and test resource-constrained edge software in Python and possibly lower-level languages including precision telemetry collection, real-time control interfaces, and system observability.

  • Create and maintain CI/CD processes to support development and deployment with a focus on reproducibility, regression testing for embedded systems, and deployment in intermittently connected environments.

  • Contribute to internal and external technical documentation.

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 expanding our engineering team and looking for a Software Engineer to support the productionalization of our IoT platform, with a primary emphasis on the software that runs on edge IoT devices. This edge software includes machine learning, optimization algorithms, and components that host these capabilities that must meet high standards of performance, security, reliability, and accuracy. We are looking for candidates who are mission-driven, collaborative, adaptive and experienced in designing, writing, testing, and debugging distributed enterprise software at scale. Ideal candidates will possess knowledge of Python, Linux, continuous integration and deployment (CI/CD), with direct experience designing and developing successful enterprise software.
Responsibilities
  • Design, propose, plan, implement, and test resource-constrained, edge software in Python (and possibly lower-level languages, e.g., Rust) including the implementation of precision telemetry collection, real-time control interfaces, and robust system observability
  • Create and maintain CI/CD processes as necessary to support development and deployment with a focus on reproducibility, regression testing for embedded systems, and deployment in real-world, intermittently connected environments
  • Contribute to internal and external technical documentation
  • Collaborate with a cross-functional team of software, hardware, quality assurance (QA), and power systems engineers; data scientists; and leadership
  • Provide high-quality, in-depth code and architecture reviews, implement new features, and provide technical leadership while coordinating with project management, QA, and other internal teams
  • Continually advocate for and implement process improvement and automation
  • Foster a culture of open communication, innovation, and continual improvement
  • Mentor other engineers using paired programming, code review, and collaborative test scenario design
Minimum Qualifications
  • 5+ years of professional experience including 3+ years of experience developing production software and systems, or a combination of educational and professional experience commensurate with this level of experience
  • Demonstrated ability to design and implement distributed systems utilizing microservices in a resource-constrained environment (edge devices with limited memory, CPUs, GPU capacity, etc.)
  • Extensive experience using Python, C/C++, Rust, and the Linux operating system
  • Experience with device layered security, i.e. encryption (PKI) , disk partitioning, secure boot, os kernel libraries, device drivers, os processes/daemons
  • Data compression and schema management for device time series data
  • Experience implementing and maintaining CI/CD workflows (e.g., GitHub Actions or Jenkins)
  • Strong understanding of synchronous and asynchronous network communication, including REST APIs, gRPC, binary protocols, and distributed publish/subscribe messaging systems and protocols like MQTT and ZeroMQ
  • Strong written and oral communication skills, with a proven track record of working effectively both individually and as part of a team
Enhanced Qualifications (Nice to Have)
  • Experience designing, building and deploying applications and reusable libraries based on the NVIDIA ML software stack on the Jetson Platform
  • Experience with system integration testing including HIL and SIL
  • Understanding of SQL/NoSQL Database implementations (SQLite, Redis, Postgres, etc)
  • Well-versed in Docker/containerization
  • Hands-on knowledge of cloud platforms and services focused on IoT device management, security and OTA updates (AWS, Azure) preferably in the scale of million devices including managing release/versioning strategies and monitoring fleet-wide performance metrics
  • Experience with control systems applications (e.g. industrial processes, manufacturing, commercial buildings, SCADA) and/or power systems
  • Experience working with software and systems deployed in modern data center environments, including telemetry ingestion, rack-level integration, and coordination with orchestration platforms
  • Experience with Shell scripting, helm charts, ansible, and prometheus tools
Salary Range: $120,000 to $150,000 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 onsite 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

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