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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Kubernetes Platform Engineer - AWS & GitOps - **Company:** 3Core Systems, Inc - **Location:** Peoria, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Application Release Automation, Microsoft Azure, Configuration Management, Computer Networks, Linux, Key Management, Octopus Deploy, OpenShift, Role-Based Access Control, Cloud Platform System, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Rancher, Terraform, Vulnerability Analysis - **Published:** November 14, 2026 - **Apply:** https://www.nettemps.com/us/en/W1BB2993AE833C748EA.ntap ## About the Role * 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, 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 ## Description 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