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Infrastructure System Engineer Jobs in Minneapolis, MN

Sr. AWS Infrastructure Engineer

Minneapolis, MN · On-site

$113K - $154K/yr

An engineer who has spent the majority of their career building, operating, and maintaining cloud infrastructure on AWS -- not just using cloud services for data processing. * Hands-on Kubernetes ...

... municipal infrastructure system designs, construction and maintenance, land acquisition, and ... Four years engineering experience Previous supervisory experience or experience Nice to have:

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Our team of seasoned engineers, designers, and strategists work across industries to create AI ... NET), and infrastructure * System Design : Can architect AI integrations that scale, handle errors ...

Systems Engineer

Saint Paul, MN · On-site +1

$112K - $141K/yr

Systems Engineer * Full Time * Onsite/Hybrid Preferred The Systems Engineer is responsible for ... and system testing ensuring application infrastructure and performance is maintained. * Support ...

DevOps Engineer 2

Saint Paul, MN · On-site

$53.25 - $73/hr

The successful candidate will demonstrate solid hands-on experience with DevOps practices, cloud infrastructure, systems administration, automation, and troubleshooting, along with the ability to ...

Showing results 21-40

Infrastructure System Engineer information

See Minneapolis, MN salary details

$48.5K

$132.6K

$190K

How much do infrastructure system engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for infrastructure system engineer in Minneapolis, MN is $132,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $147,200.00 per year, depending on experience, location, and employer.

What does an infrastructure system engineer do?

An infrastructure system engineer designs, implements, and maintains an organization’s IT infrastructure, including servers, networks, and storage systems. They troubleshoot hardware and software issues, optimize system performance, and ensure security and reliability, often using tools like virtualization and cloud platforms. Strong knowledge of networking, scripting, and certifications such as Cisco or Microsoft are common in this role.

How much do infrastructure system engineers get paid?

Infrastructure system engineers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Salaries can increase with certifications such as Cisco or Microsoft, and those working in large organizations or specialized fields may earn higher compensation.

What is the difference between Infrastructure System Engineer vs Network Engineer?

AspectInfrastructure System EngineerNetwork Engineer
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Juniper JNCIA
Work EnvironmentData centers, server rooms, cloud environmentsNetwork operations centers, enterprise networks
Industry UsageIT infrastructure, cloud services, enterprise systemsTelecommunications, enterprise networking, internet service providers

While both roles require networking certifications and involve working with IT infrastructure, Infrastructure System Engineers focus on overall system architecture, servers, and cloud integration, whereas Network Engineers specialize in designing, implementing, and maintaining network hardware and connectivity. Understanding these differences helps employers and candidates align skills with job requirements.

What are some common challenges faced by infrastructure system engineers when managing large-scale systems?

Infrastructure System Engineers often encounter challenges such as ensuring system scalability, maintaining high availability, and minimizing downtime during updates or incidents. Monitoring and proactively addressing security vulnerabilities across complex, distributed environments is another critical aspect. Collaborating with cross-functional teams, such as development and operations, is essential to align infrastructure changes with business goals and rapidly address emerging issues. Staying current with evolving technologies and best practices helps in overcoming these challenges effectively.

What are the key skills and qualifications needed to thrive as an infrastructure system engineer?

To thrive as an Infrastructure System Engineer, you need a strong background in systems administration, networking, and IT infrastructure management, usually backed by a degree in computer science or a related field. Familiarity with tools like VMware, Microsoft Azure, AWS, Linux/Windows servers, and certifications such as CompTIA Network+, Microsoft Certified: Azure Administrator, or AWS Certified Solutions Architect are typically required. Problem-solving, teamwork, and effective communication are essential soft skills for collaborating across departments and responding to critical incidents. These skills and qualifications are crucial for maintaining reliable, secure, and scalable IT environments that support business operations.
What are popular job titles related to Infrastructure System Engineer jobs in Minneapolis, MN? For Infrastructure System Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Infrastructure System Engineer jobs in Minneapolis, MN look for? The top searched job categories for Infrastructure System Engineer jobs in Minneapolis, MN are:
Infographic showing various Infrastructure System Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $132,632 per year, or $63.8 per hour.

Sr. AWS Infrastructure Engineer

1 point system

Minneapolis, MN • On-site

$113K - $154K/yr

Contractor

Posted 25 days ago


Job description

Onsite Interview

  • Must have: AWS, Kubernetes, Lambdas, EC2, CI/CD experience, Terraform, Athena, Glue

What we need:

•      An engineer who has spent the majority of their career building, operating, and maintaining cloud infrastructure on AWS — not just using cloud services for data processing.

•      Hands-on Kubernetes administration: deploying clusters, managing nodes, networking (ingress, CNI), RBAC, persistent storage, and troubleshooting production issues.

•      Experience with infrastructure-as-code - primarily Terraform - to provision and manage AWS resources programmatically

•      CI/CD pipeline ownership: building and maintaining pipelines using Azure DevOps or equivalent tools

•      Security-first mindset: IAM policies, security groups, VPCs, audit logging, vulnerability remediation within SLAs

•      Ability to support Data Science and AI/ML platform infrastructure (e.g., Shakudo on EKS, SAS Viya on Kubernetes) not build the models, but run the platform they sit on.

•      Experience with AWS services: EKS, ECR, SageMaker (infra layer), Lambda, Athena, Glue - specifically managing and operating them, not just calling APIs from notebooks

•      Database infrastructure support: Athena, Oracle, MySQL, Postgres — connection management, performance, security, not DBA-level tuning.

What will this platform engineers do in my team:

This is a Platform Engineering role embedded in the Data Science division. The team runs critical data and AI/ML infrastructure on AWS, including Shakudo (a data science platform), SAS Viya - all running on Kubernetes (EKS). The engineer's job is to keep that infrastructure running, secure, scalable, and automated.

Day-to-Day Responsibilities Include:

•      Manage and operate AWS EKS clusters that host Shakudo and SAS Viya — currently supporting 25+ active prototypes, growing to 60+ by end of 2026.

•      Build and maintain CI/CD pipelines using Azure DevOps for deploying data science environments and platform updates

•      Provision and manage AWS infrastructure using Terraform - VPCs, EKS node groups, IAM roles, ECR, RDS instances.

•      Manage container image lifecycle via Amazon ECR - building, versioning, scanning for vulnerabilities.

•      Set up and maintain AWS accounts for the Data Science platform, including IAM, cost controls, and security guardrails.

•      Respond to infrastructure incidents within SLA - on-call rotation, root cause analysis, post-mortems.

•      Perform Kubernetes cluster upgrades, node patching, and security remediation.

•      Support Data Scientists by unblocking infrastructure issues - not writing their code, but ensuring their compute and storage works.

•      Conduct knowledge transfer sessions within the platform team - documentation, runbooks, workshops

•      Collaborate with Network, Database, Architecture, and Security teams.