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Kubernetes Networking Jobs in Minnesota (NOW HIRING)

1 point system

Sr. AWS Infrastructure Engineer

Minneapolis, MN · On-site

$113K - $154K/yr

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

Wells Fargo

Lead Network Developer

Minneapolis, MN · On-site

$105K - $146K/yr

Wells Fargo is seeking a Lead Network Developer for the Secure Network Services Load Balancing team ... Experience with GitOps, Terraform, Kubernetes, OpenShift, Jenkins, GitHub Actions, or enterprise ...

Ztek Consulting INC

Sr. DevOps Engineer

Hopkins, MN · On-site

$53.50 - $73.25/hr

... in Kubernetes architecture including control plane components networking storage integration and cluster lifecycle management based on extensive practical experience -Demonstrate deep hands on ...

Motion Recruitment

DevSecOps Engineer

Minneapolis, MN · Hybrid

$55 - $75.50/hr

Proven experience with GCP, GKE (Kubernetes), Docker Swarm, and Linux administration. * Experience ... Solid understanding of container orchestration, networking, and security. Desired Skills * Bachelor ...

Swoop Search

Infrastructure Engineer

Minneapolis, MN · On-site

$112K - $147K/yr

Networking expertise * Experience packaging internal and internet-based software to work in air gap environments * Experience developing and deploying Kubernetes Helm charts Swoop Technologies is ...

Webbing

Workflow & Provisioning Lead

Finland, MN · On-site

$90 - $120/hr

Network trigger handling: location updates → workflow signals via Kong API Gateway. * Retry ... Kubernetes -- deploying and operating workloads on K8s (not just writing YAML). * Experience with ...

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Sr. AWS Infrastructure Engineer

1 point system

Minneapolis, MN • On-site

$113K - $154K/yr

Contractor

Re-posted 22 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.