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Remote Tooling Engineer Jobs in Minnesota (NOW HIRING)

HHAeXchange

Platform Engineer

Minneapolis, MN · Remote

As our AI platform matures and internal tooling expands, this role becomes the connective tissue ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

US Bank

End Point Systems Engineer

Saint Paul, MN · Remote

Integrate Systems automations with ServiceNow, self-service portals, and service desk tooling to ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

US Bank

End Point Systems Engineer

Hopkins, MN · Remote

Integrate Systems automations with ServiceNow, self-service portals, and service desk tooling to ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

Hands-on experience leading projects and leading local and remote teams to build, enhance, support ... Familiarity with Python for scripting, tooling, automation, data processing, or engineering support ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$97K - $150K/yr

Hands-on experience leading projects and leading local and remote teams to build, enhance, support ... Familiarity with Python for scripting, tooling, automation, data processing, or engineering support ...

skywater

CAD Engineer - Staff (PDK)

Minneapolis, MN · On-site +1

... given to remote location. The Electronic Design Automation (EDA) engineer will collaborate ... tooling. • Experience in IC layout in Virtuoso or Allegro package design • Experience with ...

UnitedHealth Group

Senior DevOps Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Remote, Nationwide You will enjoy the flexibility to telecommute* from anywhere within the U.S. as ... Build and maintain tooling, pipelines, and automation that support release, deployment, and upgrade ...

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Remote Tooling Engineer information

What is the difference between Remote Tooling Engineer vs Software Developer?

AspectRemote Tooling EngineerSoftware Developer
Required credentialsBachelor's in Engineering, Computer Science, or related field; experience with tooling and automationBachelor's in Computer Science or related field; programming skills
Work environmentRemote, often in tech or manufacturing industries, focusing on tooling systemsRemote or on-site, in various industries developing software applications
Employer usageTech companies, manufacturing firms, companies with automation needsTech firms, startups, enterprises developing software products

Remote Tooling Engineers focus on designing and maintaining automation tools and systems, often in manufacturing or tech environments. Software Developers create applications and software solutions across diverse industries. While both roles require technical skills and often remote work, their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a remote tooling engineer?

To thrive as a Remote Tooling Engineer, you need a strong background in software development, automation, and systems integration, typically supported by a degree in computer science or related field. Familiarity with CI/CD pipelines, scripting languages (like Python or Bash), cloud platforms, and configuration management tools is essential. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in distributed teams. These competencies are crucial for efficiently building reliable development tools and maintaining workflows across remote environments.

What is a remote tooling engineer?

A Remote Tooling Engineer is a professional who designs, develops, and maintains software tools and automation systems while working from a remote location. They support development teams by creating solutions that improve workflow efficiency, testing, deployment, and integration processes. These engineers often collaborate with cross-functional teams using communication tools and cloud-based services to deliver and maintain tooling solutions. Their work enables organizations to streamline operations, reduce manual tasks, and improve productivity without requiring onsite presence.

How does a remote tooling engineer typically collaborate with development and operations teams in a distributed work environment?

As a Remote Tooling Engineer, you'll frequently work with both development and operations teams to design, implement, and maintain tools that streamline workflows and increase efficiency. Collaboration usually happens through virtual meetings, chat platforms, and collaborative documentation, requiring strong communication and proactive updates. You'll often participate in sprint planning, code reviews, and troubleshooting sessions, making it essential to be comfortable with asynchronous communication and documentation. Building trust and clear channels for feedback are key to successful teamwork in a remote setting.
What are the most commonly searched types of Tooling Engineer jobs in Minnesota? The most popular types of Tooling Engineer jobs in Minnesota are:
What are popular job titles related to Remote Tooling Engineer jobs in Minnesota? For Remote Tooling Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Tooling Engineer jobs in Minnesota look for? The top searched job categories for Remote Tooling Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Tooling Engineer jobs? Cities in Minnesota with the most Remote Tooling Engineer job openings:
Remote Tooling Engineer jobs near you
Infographic showing various Remote Tooling Engineer job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Platform Engineer

HHAeXchange

Minneapolis, MN • Remote

Full-time

Medical, Retirement, PTO

Re-posted 23 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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