(1120620) Senior Kubernetes Platform Engineer

Diversified Services Network; Peoria (IL); On-site; USD 115,000 - 120,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Vision Insurance

Disability insurance

Employee assistance program

Health insurance

Health savings account

Life insurance

Paid time off

Paid Holidays

Job summary

Diversified Services Network, Inc. seeks a Senior Kubernetes Platform Engineer in Peoria, IL to lead the design, deployment, and lifecycle management of enterprise Kubernetes platforms across cloud, on-premises, and hybrid environments.

You will establish secure multi-tenant platform standards, drive GitOps-based operations, and embed security controls across IAM, secrets management, and compliance. Expect strong collaboration and on-call readiness.

Qualifications

• Bachelor's degree and 10+ years of relevant experience.

Responsibilities

• Lead design, deployment, and lifecycle management of enterprise Kubernetes platforms across cloud, on-prem, and hybrid environments.

Skills

Kubernetes platforms

Linux proficiency

GitOps

Terraform

Helm

Argo CD

Security & RBAC

AWS/Azure

Observability/OpenTelemetry

Networking & storage

Education

Bachelor's degree

Tools

Terraform

Helm

Argo CD

Flux

OpenTelemetry

AWS

Azure

Job description

Senior Kubernetes Platform Engineer

Diversified Services Network, Inc. (DSN) is seeking a full-time Senior Kubernetes Platform Engineer to join our team in Peoria, IL. We offer PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!

Key Responsibilities

• Lead the design, deployment, and lifecycle management of highly available Kubernetes platforms across cloud, on-premises, and hybrid environments, establishing the foundational cluster patterns needed to onboard 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 that 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.

Team Collaboration & Work Environment

• Work within an AI Center of Excellence alongside platform and application developers.
• 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.

Required Qualifications

• Bachelor's degree and 10+ 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 experience with infrastructure as code and release automation in production, 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/policy enforcement, and production cluster hardening in enterprise environments.
• Experience with at least one major cloud platform, preferably AWS or Azure.
• Experience implementing monitoring, observability, and operational readiness practices.

Preferred 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.

• 401(k)

• Dental insurance
• Vision Insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Paid Holidays

Salary expectations: 115,000-120,000 per annual