Senior Kubernetes Platform Engineer for AI Infra (Onsite)

Cullerton Group

Peoria (IL)

On-site

USD 84,000 - 120,000

Full time

2 days ago

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Benefits offered by this job

Vision insurance

Dental insurance

Health insurance

401(k)

Holiday pay

Job summary

Cullerton Group has an opportunity for an IT Software Engineer 5 - Senior Kubernetes Platform Engineer in Peoria, Illinois. This 100% onsite, five days per week role is a 12-month position with potential for permanency and full benefits (vision, dental, health insurance, 401k, holiday pay).

You will lead design, deployment, and automation of enterprise Kubernetes platforms supporting AI workloads across cloud and on-prem environments.

Qualifications

Bachelor's degree in a technical field or closely related discipline.
10+ years experience in Kubernetes platform engineering, cloud infrastructure, DevOps, SRE, or related roles.
Proven design, build, and operation of production-grade Kubernetes platforms across cloud/on-premises/hybrid environments.
Experience managing large-scale Kubernetes environments including platform reliability and lifecycle management.
Deep expertise in Linux, Kubernetes networking, storage, and infrastructure troubleshooting.
Hands-on with Terraform for IaC and automated provisioning.
Strong experience with Helm for deployment and configuration management.
Experience with GitOps tools like Argo CD or Flux.
Strong Kubernetes security experience (RBAC, network policies, secrets, admission policies).
Experience with at least one major cloud platform (AWS/Azure) in enterprise environments.
Knowledge of observability, monitoring, incident response, and reliability practices.
Excellent technical communication and problem-solving skills.

Responsibilities

Lead design, deployment, and lifecycle management of production-grade Kubernetes platforms across cloud, on-premises, and hybrid environments.
Develop and maintain IaC and GitOps automation using Terraform, Helm, Argo CD, Flux.
Implement Kubernetes security controls including RBAC, network policies, secrets management, and cluster hardening.
Establish platform observability, monitoring, incident response, and reliability practices; troubleshoot complex issues.
Collaborate with cross-functional teams to standardize deployment patterns and optimize performance and cost.