Jobs in the United States

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Added 2 mins ago
Assistant Building Engineer Freedom Center
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Forward Deployed Engineer, AI Systems
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Senior Kubernetes Platform Engineer AWS GitOps
3Core Systems, Inc
Peoria, IL
Must Have Skills/Attributes: Automation, AWS,
Added 6 mins ago
Specialist, Software Engineering 1 1
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Support Engineer II, AWS Support Engineering
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3Core Systems, Inc

Senior Kubernetes Platform Engineer AWS GitOps

Peoria, IL, United States

Apply on 3coresystems.zohorecruit.com About employer

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Job details

Education: Bachelor’s degree
Posting language: English
Posted: Nov 11, 2026

Original job description

Job Title: Senior Kubernetes Platform Engineer AWS GitOps

Job Location: Peoria, IL, 61629, Onsite

Shift: M-F, 8am - 5pm

Estimated Duration (In Months): 13

Must Have Skills/Attributes: Automation, AWS, Kubernetes, Security

Experience Desired:

Kubernetes and Container Platform experience (10 yrs)
Infrastructure Automation - IaC, GitOps (10 yrs),
Enterprise cloud experience with AWS or Azure (10 yrs),
Security and Observability experience (10 yrs)

Required Minimum Education: Bachelor’s Degree

Preferred Certifications/Licenses: Kubernetes, CKA, CKAD, or CKS

Job Description

Education Requirements:

Bachelor's degree

Preferred Certification:

Kubernetes
CKA
CKAD
CKS

Required Skills for the Senior Kubernetes Platform

Engineer:

10 years of experience
Proven success building and evolving production-grade Kubernetes platforms across cloud, on-premises, or hybrid environments
Demonstrated experience operating Kubernetes at scale, including responsibility for reliability, security, and platform lifecycle management
Deep expertise in Linux, cluster networking, and storage architecture, including the ability to diagnose issues across the infrastructure stack
Hands-on experience with infrastructure as code and release automation in production environments, including Terraform and Helm-based platform delivery
Experience using GitOps tools such as Argo CD or Flux to manage deployments and improve control, consistency, and delivery efficiency in production environments
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

Core Technology Areas:

Kubernetes & Container Platform

Kubernetes platform administration, operations, and lifecycle management
Helm-based release and configuration management

Infrastructure Automation

Infrastructure as code, automation, and platform provisioning
GitOps-driven deployment and configuration management

Cloud & Hybrid

At least one major cloud platform, preferably AWS or Azure
Enterprise cloud and hybrid platform environments

Security & Observability

Platform security controls, policy enforcement, and workload protection
Observability, monitoring, and operational readiness practices

Preferred Skills:

Experience with enterprise Kubernetes distributions and managed services such as EKS, AKS, GKE, OpenShift, or Rancher
Familiarity with service mesh capabilities that support traffic management, security, and platform resilience
Exposure to modern observability frameworks, including OpenTelemetry, to support scalable monitoring practices
Familiarity with container image security, vulnerability scanning, and software supply chain practices that strengthen overall platform security maturity
Experience supporting 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:

This position supports the delivery of enterprise AI capabilities through a secure, scalable, and reliable Kubernetes platform
The role is responsible for establishing the platform foundation required to support governed AI workloads across cloud and on-premises environments, with emphasis on operational stability, security, and enterprise scalability
Establish the initial Kubernetes platform foundation across cloud and on-premises environments, including core cluster patterns to support early AI workload onboarding
Implement baseline GitOps, access, security, and operational controls to improve consistency, reduce deployment risk, and support production readiness
Define an operating model for the platform, including support expectations, reliability priorities, and an approach to scale for enterprise AI workloads

Responsibilities:

Lead the design, deployment, and lifecycle management of highly available Kubernetes platforms across hybrid environments to ensure resilience, scalability, and operational consistency
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 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, secrets management, and workload protection practices
Establish observability capabilities that accelerate issue detection, improve incident response, and support data-driven reliability management
Own and improve platform service objectives, operational readiness, and support practices to sustain reliable production operations
Resolve complex platform issues across networking, storage, and runtime layers while driving long-term architectural improvements
Collaborate with application and security teams to standardize deployment patterns, improve reliability, and support platform adoption
Drive continuous improvement in automation, performance, and cost efficiency to increase platform value and reduce operational overhead

Apply on 3coresystems.zohorecruit.com About employer

More about this job

Skills

Kubernetes
AWS
Infrastructure as code
Microsoft Azure
Linux
IBM Terraform
Red Hat OpenShift
Process improvement
Onboarding
Regulatory compliance
Incident response

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Work requirements

Jobs in the United States