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Diversified Services Network

Senior Kubernetes Platform Engineer

Platform EngineeringPosted on Nov 10
Full-timePeoria, IL, USA$115k - $120k /yrIn-person

About the Job

Requirements

  • A bachelor's degree and 10 or more years of relevant experience are required.
  • Demonstrated success building, evolving, and operating production-grade Kubernetes platforms at scale across cloud, on-premises, or hybrid environments, with responsibility for reliability, security, and platform lifecycle management is required.
  • Deep expertise in Linux, cluster networking, and storage architecture, including the ability to diagnose issues across the full infrastructure stack, is required.
  • Hands-on production experience with infrastructure as code and release automation, including Terraform and Helm-based platform delivery, is required.
  • Experience managing production deployments with GitOps tools such as Argo CD or Flux is required.
  • Hands-on Kubernetes security experience, including RBAC, network policies, secrets and key management, admission and policy enforcement, and production cluster hardening in enterprise environments, is required.
  • Experience with at least one major cloud platform is required; AWS or Azure is preferred.
  • Experience implementing monitoring, observability, and operational readiness practices is required.

Responsibilities

  • Lead the design, deployment, and lifecycle management of highly available Kubernetes platforms across cloud, on-premises, and hybrid environments, establishing foundational cluster patterns for onboarding enterprise AI workloads.
  • Establish secure multi-tenant platform standards that strengthen governance, resource efficiency, and workload isolation across teams.
  • Build automated, GitOps-driven platform operations for provisioning, upgrades, patching, scaling, and decommissioning to reduce deployment risk and improve delivery speed.
  • Define platform standards for deployment, observability, and service operations to improve consistency and reduce engineering friction.
  • Embed security and compliance controls into the platform through policy, identity and access, secrets management, and workload protection practices.
  • Establish observability capabilities that accelerate issue detection, improve incident response, and support data-driven reliability management.
  • Define and own the platform operating model, including service objectives, support expectations, operational readiness, and the approach to scaling for enterprise AI workloads.
  • Resolve complex platform issues across networking, storage, and runtime layers while driving long-term architectural improvements.
  • Drive continuous improvement in automation, performance, and cost efficiency to increase platform value and reduce operational overhead.
  • Partner with security, infrastructure, and application teams to align technical decisions with enterprise requirements, standardize deployment patterns, and support platform adoption.
  • Collaborate with globally distributed engineering and platform teams to deliver a shared enterprise Kubernetes platform across time zones.
  • Participate in on-call rotation, maintenance readiness, and disaster recovery preparedness.

Desired Qualifications

  • Experience with enterprise Kubernetes distributions and managed services such as EKS, AKS, GKE, OpenShift, or Rancher.
  • Familiarity with service mesh capabilities for traffic management, security, and platform resilience.
  • Exposure to modern observability frameworks, including OpenTelemetry.
  • Familiarity with container image security, vulnerability scanning, and software supply chain practices.
  • Experience supporting enterprise AI platforms, such as Accenture AI Refinery.
  • Kubernetes certifications such as CKA, CKAD, or CKS.

About the Company

Diversified Services Network

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