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Remote Software Support Engineer Jobs in Michigan

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop and maintain systems that support high-throughput AI workloads, including asynchronous job ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop and maintain systems that support high-throughput AI workloads, including asynchronous job ...

Remote, United States Date Posted: May 5, 2026 Employment Type: Intern Job ID: R-1948 Description ... Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle ...

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Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits ...

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Remote Software Support Engineer information

What are the key skills and qualifications needed to thrive as a Remote Software Support Engineer, and why are they important?

To thrive as a Remote Software Support Engineer, you need a solid understanding of software troubleshooting, networking principles, and customer service, often backed by a degree in computer science or related field. Familiarity with ticketing systems (like Zendesk or Jira), remote desktop tools, and certifications such as CompTIA A+ or ITIL are commonly required. Excellent problem-solving, clear communication, and self-motivation are crucial soft skills for addressing user concerns and working independently. These abilities ensure efficient support delivery, high customer satisfaction, and effective resolution of technical issues in a remote environment.

What are some common challenges faced by Remote Software Support Engineers and how can they be addressed?

Remote Software Support Engineers often encounter challenges such as troubleshooting complex technical issues without physical access to client systems, managing communication across different time zones, and maintaining clear, effective collaboration with both users and internal teams. To address these, it's helpful to develop strong written communication skills, become proficient with remote diagnostic tools, and establish a structured workflow for tracking and resolving support tickets. Actively participating in regular virtual team meetings and leveraging documentation can also greatly improve problem-solving efficiency and team cohesion.

What does a Remote Software Support Engineer do?

A Remote Software Support Engineer assists clients or users with troubleshooting and resolving software issues from a remote location. They diagnose technical problems, provide guidance via email, chat, or phone, and may also help with software installation and updates. In addition to technical expertise, they need strong communication skills to explain solutions clearly. Their work ensures that users can efficiently use software products and minimizes downtime for businesses.
What are popular job titles related to Remote Software Support Engineer jobs in Michigan? For Remote Software Support Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Software Support Engineer jobs in Michigan look for? The top searched job categories for Remote Software Support Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Software Support Engineer jobs? Cities in Michigan with the most Remote Software Support Engineer job openings:
Software Engineer

Software Engineer

Relativity

Detroit, MI • On-site, Remote

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting