10303

3Core Systems; Peoria (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Accenture is seeking a Senior Kubernetes Platform Engineer to design, operate, and continuously improve Kubernetes platforms supporting Accenture AI Refinery. The role focuses on secure, scalable, and well-governed AI workloads across cloud and on‑premises environments.

You will advance platform reliability, developer enablement, and the controls required for critical services, aligning to enterprise governance and security standards.

Qualifications

• Ten years of experience in Kubernetes platform engineering.
• Proven success building production-grade Kubernetes platforms across cloud, on-premises, or hybrid environments.
• Deep expertise in Linux, cluster networking, and storage architecture.

Responsibilities

• Lead design, deployment, and lifecycle management of highly available Kubernetes platforms across hybrid environments.
• Establish secure multi-tenant platform standards.
• Build automated GitOps-driven platform operations for provisioning, upgrades, and scaling.
• Define platform standards for deployment, observability, and service operations.
• Embed security and compliance controls into the platform.

Skills

Kubernetes

Container Platform

Infrastructure as Code

GitOps

Cloud (AWS/Azure)

Security

Observability

Linux

Networking

Storage

Terraform

Helm

Argo CD/Flux

RBAC

Policy & Compliance

Education

Bachelor’s Degree

Tools

OpenTelemetry

Kubernetes distributions (EKS/AKS/GKE/OpenShift/Rancher)

Job description

Job Location: Peoria, IL, 61629, Onsite

Shift: M-F, 8am - 5pm

Experience Desired:

• Kubernetesand Container Platform experience (10 yrs)
  
• InfrastructureAutomation - IaC, GitOps (10 yrs),
  
• Enterprisecloud experience with AWS or Azure (10 yrs),
  
• Securityand Observability experience (10 yrs)
  

Required Minimum Education: Bachelor’s Degree

Preferred Certifications/Licenses: Kubernetes, CKA, CKAD, orCKS

Job Description

Education Requirements:

Preferred Certification:

• CKA
  
• CKAD
  
• CKS
  

Required Skills for the Senior Kubernetes PlatformEngineer:

• 10years of experience
  
• Provensuccess building and evolving production-grade Kubernetes platforms acrosscloud, on-premises, or hybrid environments
  
• Demonstratedexperience operating Kubernetes at scale, including responsibility forreliability, security, and platform lifecycle management
  
• Deepexpertise in Linux, cluster networking, and storage architecture,including the ability to diagnose issues across the infrastructure stack
  
• Hands-onexperience with infrastructure as code and release automation inproduction environments, including Terraform and Helm-based platformdelivery
  
• Experienceusing GitOps tools such as Argo CD or Flux to manage deployments andimprove control, consistency, and delivery efficiency in productionenvironments
  
• Stronghands-on Kubernetes security experience, including RBAC, network policies,secrets and key management, admission or policy enforcement, andproduction cluster hardening in enterprise environments
  

Core Technology Areas:

• Kubernetesplatform administration, operations, and lifecycle management
  
• Helm-basedrelease and configuration management
  

Infrastructure Automation

• Infrastructureas code, automation, and platform provisioning
  
• GitOps-drivendeployment and configuration management
  
• Atleast one major cloud platform, preferable AWS or Azure
  
• Enterprisecloud and hybrid platform environments
  

Security & Observability

• Platformsecurity controls, policy enforcement, and workload protection
  
• Observability,monitoring, and operational readiness practices
  

Preferred Skills:

• Experiencewith enterprise Kubernetes distributions and managed services such as EKS,AKS, GKE, OpenShift, or Rancher
  
• Familiaritywith service mesh capabilities that support traffic management, security,and platform resilience
  
• Exposureto modern observability frameworks, including OpenTelemetry, to supportscalable monitoring practices
  
• Familiaritywith container image security, vulnerability scanning, and software supplychain practices that strengthen overall platform security maturity
  
• Experiencesupporting enterprise AI platforms, including Accenture AI Refinery
  

The Senior Kubernetes Platform Engineer is responsible forthe design, operation, and continuous improvement of the Kubernetes platformsupporting a shared enterprise AI offering aligned to Accenture AI Refinery.This position enables secure, scalable, and well-governed AI workloads byadvancing platform reliability, operational maturity, developer enablement, andthe controls required to support critical services across cloud and on-premisesenvironments.

Position Contributions to the Group:

• Thisposition supports the delivery of enterprise AI capabilities through asecure, scalable, and reliable Kubernetes platform
  
• Therole is responsible for establishing the platform foundation required tosupport governed AI workloads across cloud and on-premises environments,with emphasis on operational stability, security, and enterprisescalability
  
• Establishthe initial Kubernetes platform foundation across cloud and on-premisesenvironments, including core cluster patterns to support early AI workloadonboarding
  
• Implementbaseline GitOps, access, security, and operational controls to improveconsistency, reduce deployment risk, and support production readiness
  
• Definean operating model for the platform, including support expectations,reliability priorities, and an approach to scale for enterprise AIworkloads
  

Responsibilities:

• Leadthe design, deployment, and lifecycle management of highly availableKubernetes platforms across hybrid environments to ensure resilience,scalability, and operational consistency
  
• Establishsecure multi-tenant platform standards that strengthen governance,resource efficiency, and workload isolation across teams
  
• Buildautomated, GitOps-driven platform operations for provisioning, upgrades,patching, scaling, and decommissioning to reduce risk and improve deliveryspeed
  
• Defineplatform standards for deployment, observability, and service operationsthat improve consistency and reduce engineering friction
  
• Embedsecurity and compliance controls into the platform through policy,identity, secrets management, and workload protection practices
  
• Establishobservability capabilities that accelerate issue detection, improveincident response, and support data-driven reliability management
  
• Ownand improve platform service objectives, operational readiness, andsupport practices to sustain reliable production operations
  
• Resolvecomplex platform issues across networking, storage, and runtime layerswhile driving long-term architectural improvements
  
• Collaboratewith application and security teams to standardize deployment patterns,improve reliability, and support platform adoption
  
• Drivecontinuous improvement in automation, performance, and cost efficiency toincrease platform value and reduce operational overhead