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Kubernetes Platform Engineer

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: Otavo.ai
Full Time position
Listed on 2026-10-01
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 127500 - 170000 USD Yearly USD 127500.00 170000.00 YEAR
Job Description & How to Apply Below
# Kubernetes Platform Engineer - US work visa is a must Peoria, IL $150k / yr Enterprise

Posted Sep 20, 2026---## OverviewA B2B software provider for manufacturing optimization is hiring a Kubernetes Platform Engineer for a full-time, on-site role in Peoria, IL. The company operates in industrial AI and automation, with a team of around 20–25 employees. This role involves designing, implementing, and maintaining Kubernetes-based infrastructure to support production systems and enterprise AI workloads.## Location & Work Mode2 points

Peoria, Illinois, United States.

On-site role.## Compensation1 point
150k+.##

Key Responsibilities 8 points

Design, deploy, and operate highly available Kubernetes platforms across cloud and on-prem environments.

Build automated, Git Ops-driven platform operations for provisioning, upgrades, patching, scaling, and decommissioning.

Establish secure multi-tenant standards for governance, workload isolation, and resource efficiency.

Define platform standards for deployment, observability, service operations, and production readiness.

Implement Kubernetes security controls including RBAC, network policies, secrets management, policy enforcement, and cluster hardening.

Troubleshoot complex issues across Linux, networking, storage, runtime, and Kubernetes layers.

Improve platform reliability, incident response, operational readiness, and service objectives.

Drive continuous improvement in automation, performance, and cost efficiency.## Must Have6 points

Proven experience building and operating production Kubernetes platforms ong hands-on Kubernetes administration, operations, and lifecycle management experience.

Deep understanding of Linux, cluster networking, storage architecture, and infrastructure troubleshooting.

Experience with Terraform, Helm, and infrastructure automation in production environments.

Hands-on Git Ops experience with Argo CD, Flux, or similar tools.

Strong Kubernetes security experience, including RBAC, network policies, secrets/key management, admission control, policy enforcement, and production hardening.## Good to Have5 points

Experience with at least one major cloud platform, preferably AWS or Azure.

Experience with EKS, AKS, GKE, Open Shift, Rancher, or similar enterprise Kubernetes platforms.

Familiarity with service mesh, Open Telemetry, observability frameworks, and container security tooling.

Experience supporting enterprise AI platforms or AI/ML infrastructure.

Certifications such as CKA, CKAD, or CKS.## Additional Information In the initial phase, the role will focus on establishing the Kubernetes platform foundation across cloud and on-prem environments, implementing baseline Git Ops, security, access, and operational controls, and defining the operating model required to scale governed enterprise AI workloads.

This is a high-impact role for someone who wants to build the platform layer behind enterprise AI adoption, rather than just maintain clusters.## Key Skills & Technologies Primary tools, core competencies, and technical domains relevant to this role:

Kubernetes Linux Networking Storage  Architecture Infrastructure Troubleshooting Terraform Helm Infrastructure  Automation Git Ops Argo  CDFluxRBACNetwork Policies Secrets Management Policy Enforcement Cluster HardeningAWSAzureEKSAKSGKEOpen Shift Rancher Service  Mesh Open Telemetry Observability  Frameworks Container Security Tooling Enterprise AI Platforms AI/ML Infrastructure## What to Expect Fast-Track Review Otavo directly coordinates with hiring managers for accelerated screening.

Transparent Feedback Get real-time updates and clear interview progression at each stage.

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