(1120620) Senior Kubernetes Platform Engineer

Diversified Services Network, Inc.•Peoria, IL

2d•$115,000 - $120,000

About The Position

Diversified Services Network, Inc. (DSN) is seeking a full-time Senior Kubernetes Platform Engineer to join its team in Peoria, Illinois. The role is part of an AI Center of Excellence and focuses on building and operating a shared enterprise Kubernetes platform that can support enterprise AI workloads across cloud, on-premises, and hybrid environments. The engineer will establish secure, reliable, scalable platform standards and operations, and collaborate with platform and application developers as well as security, infrastructure, and globally distributed engineering teams.

Requirements

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

Nice To Haves

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.

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 enterprise AI workloads.
Establish secure multi-tenant platform standards that strengthen governance, resource efficiency, and workload isolation.
Build automated, GitOps-driven platform operations for provisioning, upgrades, patching, scaling, and decommissioning.
Define platform standards for deployment, observability, and service operations to improve consistency and reduce engineering friction.
Embed security and compliance controls through policy, identity and access management, secrets management, and workload protection practices.
Establish observability capabilities to 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 scaling for enterprise AI workloads.
Resolve complex platform issues across networking, storage, and runtime layers while driving long-term architectural improvements.
Continuously improve 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 the on-call rotation, maintenance readiness, and disaster recovery preparedness.