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Senior Endpoint Engineer Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Minneapolis, MN · On-site

$105 - $155/hr

This is a high-ownership opportunity for an AI/ML engineer who wants to design and ship the models ... Build and manage SageMaker training pipelines, model registry, and endpoint deployments, including ...

This is a high-ownership opportunity for an AI/ML engineer who wants to design and ship the models ... Build and manage SageMaker training pipelines, model registry, and endpoint deployments, including ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

Provides senior technical leadership representing various hardware platforms and software ... Experience with endpoint environments (Windows, macOS, VDI) * Familiarity with ITSM platforms (e.g ...

This role will report to the Senior Information Security Manager - Security Engineering and ... Strong understanding of network security, endpoint protection, and cloud security (AWS, Azure, or ...

Security Engineer

Golden Valley, MN · On-site

$82K - $158K/yr

This role will report to the Senior Information Security Manager - Security Engineering and ... Strong understanding of network security, endpoint protection, and cloud security (AWS, Azure, or ...

Showing results 21-40

Senior Endpoint Engineer information

What are some common challenges faced by senior endpoint engineers in managing a large-scale device environment?

Senior Endpoint Engineers often encounter challenges such as ensuring consistent security policy enforcement, managing diverse operating systems and device types, and keeping up with frequent software updates across thousands of endpoints. Balancing streamlined user experience with strict security requirements can also be demanding. Effective collaboration with IT support, security teams, and end users is crucial to quickly resolve issues and maintain device compliance across the organization.

What are the key skills and qualifications needed to thrive as a senior endpoint engineer, and why are they important?

To thrive as a Senior Endpoint Engineer, you need advanced knowledge of endpoint security, device management, and operating systems, typically supported by a bachelor’s degree in IT or a related field. Expertise in tools like Microsoft Endpoint Manager (Intune), SCCM, JAMF, and relevant security certifications such as CompTIA Security+ or Microsoft Certified: Security, Compliance, and Identity Fundamentals are often required. Strong problem-solving skills, attention to detail, and effective communication help you excel in diagnosing issues and collaborating with teams. These skills ensure secure, efficient management of devices across an organization, protecting data and supporting operational continuity.

What does a senior endpoint engineer do?

A Senior Endpoint Engineer is responsible for managing, securing, and maintaining an organization's endpoint devices, such as laptops, desktops, and mobile devices. They design, implement, and support endpoint management solutions to ensure devices remain secure, compliant, and up-to-date. Their role often includes deploying software, troubleshooting device issues, enforcing security policies, and collaborating with IT and security teams to protect company data. They also stay updated on the latest threats and technologies to continually improve endpoint security and management.

What is the difference between Senior Endpoint Engineer vs Endpoint Security Specialist?

AspectSenior Endpoint EngineerEndpoint Security Specialist
CredentialsBS in Computer Science, Networking certifications (e.g., CompTIA Security+)Certifications in cybersecurity (e.g., CISSP, CompTIA Security+)
Work EnvironmentIT teams, network infrastructure, system deploymentSecurity teams, threat analysis, incident response
Industry UsageIT departments across various industriesCybersecurity firms, enterprise security teams
Common Search IntentTechnical endpoint management and deploymentSecurity threats, malware prevention, incident handling

While both roles focus on endpoints, the Senior Endpoint Engineer primarily manages endpoint deployment, configuration, and maintenance. In contrast, the Endpoint Security Specialist concentrates on protecting endpoints from security threats and managing security protocols. Both roles often collaborate but serve different core functions within an organization's IT and security teams.

What are the most commonly searched types of Endpoint Engineer jobs in Minnesota?

The most popular types of Endpoint Engineer jobs in Minnesota are:

What are popular job titles related to Senior Endpoint Engineer jobs in Minnesota?

For Senior Endpoint Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Endpoint Engineer jobs in Minnesota look for?

The top searched job categories for Senior Endpoint Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Endpoint Engineer jobs?

Cities in Minnesota with the most Senior Endpoint Engineer job openings:

Infographic showing various Senior Endpoint Engineer job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Consultant, AI/ML Engineer

Horizontal Talent

Minneapolis, MN • Remote

$119K - $163K/yr

Full-time

Posted 8 days ago


Job description

We are seeking a Senior Consultant, AI/ML Engineer to help operationalize machine learning across a dynamic, mission-driven environment. In this hands-on role, you will build and support the infrastructure, pipelines, and production practices that move models from experimentation to reliable real-world use.

Responsibilities
  • Own the end-to-end machine learning lifecycle, including training pipelines, model registry, versioning, promotion, and deployment workflows.
  • Design and maintain SageMaker-based training and inference platforms that support production-grade ML services.
  • Develop Infrastructure as Code using Terraform for AWS services such as SageMaker, S3, KMS, IAM, CloudWatch, and cross-account access patterns.
  • Build and improve CI/CD pipelines to support testing, security scanning, infrastructure validation, and automated model promotion.
  • Ensure consistency between training and serving by maintaining shared feature engineering and preprocessing logic.
  • Set up monitoring, alerting, and dashboarding for model performance, drift, endpoint health, and operational visibility.
  • Support secure and scalable ML operations through least-privilege access, encryption, secrets management, and artifact protection.
  • Collaborate closely with data scientists to turn experimental models into tested, reproducible, deployable solutions.
  • Support Bedrock-based workflows for batch and real-time use cases, with attention to throughput, cost, and guardrails.
  • Help improve incident response and operational efficiency through automation, anomaly detection, and AI-assisted analysis.
Skills
  • 5+ years of experience in MLOps, ML platform engineering, or ML infrastructure roles with production ownership of deployed models.
  • Strong AWS expertise, especially with SageMaker, S3, IAM, KMS, CloudWatch, Lambda, Step Functions, and multi-account environments.
  • Hands-on experience with Terraform and Git-based DevOps workflows.
  • Experience designing and maintaining CI/CD pipelines using tools such as GitLab CI, GitHub Actions, or similar platforms.
  • Advanced Python development skills for building reliable, production-ready ML tooling and services.
  • Solid understanding of model training, evaluation, feature engineering, and metrics such as C-index, AUC, and calibration.
  • Experience with model monitoring, drift detection, and production ML support.
  • Strong knowledge of security best practices, including least-privilege access, encryption, and secrets management.
  • Ability to work cross-functionally and translate technical needs into practical, scalable solutions.
Preferred Skills
  • Experience supporting LLM pipelines and Bedrock-based implementations.
  • Familiarity with blue/green deployment strategies and automated rollback processes.
  • Knowledge of infrastructure and application security tools such as Checkov and SonarQube.
  • Exposure to anomaly detection, event-driven automation, and AIOps practices.
  • Experience using AI tools to support log analysis, incident triage, or root-cause investigation.
  • Background working in highly regulated or operationally sensitive environments.

Horizontal is committed to fostering a workplace where inclusion, equity, and belonging are valued and supported. We welcome candidates from all backgrounds and experiences and are dedicated to building teams that reflect a broad range of perspectives.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.