Kubernetes Platform Engineer - US work visa is a must
Overview
A 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 Mode
Peoria, Illinois, United States.
On-site role.
Compensation
150k+.
Key Responsibilities
Design, deploy, and operate highly available Kubernetes platforms across cloud and on-prem environments.
Build automated, GitOps-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 Have
Proven experience building and operating production Kubernetes platforms at scale.
Strong 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 GitOps 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 Have
Experience with at least one major cloud platform, preferably AWS or Azure.
Experience with EKS, AKS, GKE, OpenShift, Rancher, or similar enterprise Kubernetes platforms.
Familiarity with service mesh, OpenTelemetry, 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 GitOps, 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:
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.