Job DescriptionJob Title: Senior Kubernetes Platform Engineer AWS GitOpsJob Location: Peoria, IL, 61629, OnsiteShift: M-F, 8am - 5pmEstimated Duration (In Months): 13Must Have Skills/Attributes: Automation, AWS, Kubernetes, Security
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, or CKS
Job DescriptionEducation Requirements:
Bachelor's degree
Preferred Certification:Required Skills for the Senior Kubernetes Platform Engineer:- 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:Kubernetes & Container Platform- Kubernetesplatform administration, operations, and lifecycle management
- Helm-basedrelease and configuration management
Infrastructure Automation- Infrastructureas code, automation, and platform provisioning
- GitOps-drivendeployment and configuration management
Cloud & Hybrid- Atleast one major cloud platform, preferably 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
Senior Kubernetes Platform Engineer Overview:The Senior Kubernetes Platform Engineer is responsible for the design, operation, and continuous improvement of the Kubernetes platform supporting a shared enterprise AI offering aligned to Accenture AI Refinery. This position enables secure, scalable, and well-governed AI workloads by advancing platform reliability, operational maturity, developer enablement, and the controls required to support critical services across cloud and on-premises environments.
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
