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Remote Insurance Risk Engineer Jobs in Michigan (NOW HIRING)

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Remote Insurance Risk Engineer information

What is a Remote Insurance Risk Engineer?

A Remote Insurance Risk Engineer is a professional who evaluates and analyzes potential risks for insurance clients, typically working from a remote location rather than on-site. Their main responsibilities include assessing properties, operations, and processes to identify hazards, recommending ways to minimize risks, and helping underwriters make informed decisions about policy coverage. They often use virtual tools, teleconferencing, and digital reports to perform their work efficiently from a distance. This role requires strong analytical skills, knowledge of safety regulations, and excellent communication abilities.

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

To thrive as a Remote Insurance Risk Engineer, you need a background in engineering or risk management, strong analytical abilities, and knowledge of property and casualty insurance principles. Familiarity with risk assessment tools, loss control software, and relevant certifications such as ARM (Associate in Risk Management) are typically required. Excellent communication, self-motivation, and problem-solving skills are essential for collaborating with clients and working independently. These skills ensure accurate risk evaluations, effective client interactions, and the delivery of valuable recommendations to mitigate potential losses.

What is the difference between Remote Insurance Risk Engineer vs Remote Underwriter?

AspectRemote Insurance Risk EngineerRemote Underwriter
Required CredentialsRisk assessment certifications, actuarial knowledgeUnderwriting certifications, insurance licenses
Work EnvironmentAnalyzing data, assessing risks, collaborating remotelyReviewing applications, making coverage decisions remotely
Employer & Industry UsageInsurance companies, risk consulting firmsInsurance carriers, brokerage firms

Both roles involve remote work within the insurance industry, focusing on risk and policy decisions. While Remote Insurance Risk Engineers analyze and assess risks using data and technical skills, Remote Underwriters evaluate applications to determine coverage and premiums. Understanding these differences helps job seekers identify the right role based on their skills and certifications.

How does a Remote Insurance Risk Engineer effectively collaborate with underwriters and clients despite working remotely?

As a Remote Insurance Risk Engineer, collaboration with underwriters and clients typically occurs through virtual meetings, detailed risk assessment reports, and regular communication via email or phone. Engineers are responsible for conducting virtual or on-site inspections, documenting their findings, and providing actionable recommendations to underwriters to help them assess risk accurately. Building strong relationships and maintaining clear, prompt communication are essential, as is being proactive in addressing client questions or concerns. Most organizations provide digital tools and platforms to facilitate seamless teamwork across different locations.
What are popular job titles related to Remote Insurance Risk Engineer jobs in Michigan? For Remote Insurance Risk Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Risk Engineer jobs in Michigan look for? The top searched job categories for Remote Insurance Risk Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Insurance Risk Engineer jobs? Cities in Michigan with the most Remote Insurance Risk Engineer job openings:
Remote Insurance Risk Engineer jobs near you
Infographic showing various Remote Insurance Risk Engineer job openings in Michigan as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 100% Remote job distribution.
Cloud Infrastructure Engineer - AI Reviewer - Remote

Cloud Infrastructure Engineer - AI Reviewer - Remote

micro1 AI

Detroit, MI • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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