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Remote Devops Jobs in Minnesota (NOW HIRING)

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Build and maintain runbooks, disaster recovery procedures, and operational documentation DevOps & ...

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

Contribute to and help advance CI/CD, DevOps, monitoring, logging, and deployment reliability ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $168K/yr

Contribute to and help advance CI/CD, DevOps, monitoring, logging, and deployment reliability ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $167K/yr

Contribute to and help advance CI/CD, DevOps, monitoring, logging, and deployment reliability ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

... operational needs of the business while serving as a subject matter expert. Come be a part of an ... Plymouth, MN - Hybrid or Remote What you will do: Analyze Solution Requirements: * Serve as a ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Familiarity with Git/Azure DevOps for version control and CI/CD pipelines * Knowledge of DAX Studio ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Familiarity with Git/Azure DevOps for version control and CI/CD pipelines * Knowledge of DAX Studio ...

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Remote Devops information

See Minnesota salary details

$16

$59

$84

How much do remote devops jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote devops in Minnesota is $59.29, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $68.03 per hour, depending on experience, location, and employer.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

Are DevOps still in demand?

Yes, DevOps roles remain in high demand as organizations continue to adopt cloud computing, automation, and continuous integration/continuous deployment (CI/CD) practices. Skills in tools like Docker, Kubernetes, and Jenkins are particularly sought after, and the role often requires knowledge of scripting and cloud platforms such as AWS or Azure.

Can a DevOps engineer work remotely?

Yes, many DevOps engineers work remotely, as the role primarily involves managing infrastructure, automation, and cloud services that can be accessed online. Remote work is common in this field, especially with skills in tools like Docker, Kubernetes, and cloud platforms, and often requires strong communication and collaboration abilities. However, some companies may have specific on-site requirements depending on their security policies or team structure.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

What Are Remote DevOps Jobs?

Remote DevOps jobs focus on combining software development and information technology operations. In these careers, your duties include engineering software and systems to meet the specific needs of a business or enterprise. You may perform tasks such as software coding and the development of network resources to allow for easy updates and the addition of new technology. As a remote developer, you work from home or another remote location. DevOps job roles include DevOps architect, DevOps engineer, software and system tester, and an integration specialist, whose responsibilities involve working to integrate new software and applications seamlessly.

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

To thrive as a Remote DevOps Engineer, you need strong skills in systems administration, cloud platforms (like AWS, Azure, or GCP), scripting, and CI/CD pipelines, typically backed by a degree in computer science or related certifications such as AWS Certified DevOps Engineer. Familiarity with tools like Docker, Kubernetes, Jenkins, and infrastructure-as-code systems (e.g., Terraform or Ansible) is standard in this role. Exceptional problem-solving, communication, and time-management skills are crucial for collaborating effectively across distributed teams. These abilities enable seamless deployment, scalability, and reliability of systems, ensuring smooth operations in a remote work environment.

What is a Remote DevOps engineer?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How to make $80,000 a year working from home?

A remote DevOps engineer can earn $80,000 or more annually by gaining relevant skills in cloud platforms, automation tools, and scripting, along with certifications like AWS or Azure. Building experience through projects and demonstrating proficiency in CI/CD, containerization, and infrastructure management can help achieve this salary level while working remotely.

Will AI replace DevOps?

AI is expected to augment DevOps roles by automating routine tasks such as deployment, monitoring, and incident response, allowing DevOps professionals to focus on more complex problem-solving and system design. While AI can improve efficiency and reduce errors, it is unlikely to fully replace the need for human expertise in managing and optimizing complex infrastructure and workflows.
What are the most commonly searched types of Devops jobs in Minnesota? The most popular types of Devops jobs in Minnesota are:
What are popular job titles related to Remote Devops jobs in Minnesota? For Remote Devops jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Devops jobs in Minnesota look for? The top searched job categories for Remote Devops jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Devops jobs? Cities in Minnesota with the most Remote Devops job openings:
Platform Engineer

Platform Engineer

HHAeXchange

Minneapolis, MN • Remote

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation - ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving.

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI Platform - the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS.

As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability - ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Essential Job Duties

Platform Reliability (SRE)

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack
  • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations
  • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
  • Proactively identify reliability risks and drive engineering improvements before they become production issues
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation

DevOps & Delivery Automation

  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications
  • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
  • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure

Cross-Team Enablement

  • Serve as the operational backbone for the AI platform team - ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
  • Contribute to our "factory model" vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
  • Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role
  • Hands-on AWS experience required - AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK
  • Strong CI/CD experience with tools such as GitHub Actions
  • Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
  • Familiarity with AI/ML infrastructure patterns - model serving, vector databases, pipeline orchestration (strongly preferred)
  • Experience with observability and monitoring tooling (Datadog, CloudWatch)
  • Prior experience in a SaaS environment
  • Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
 
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
 
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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