Senior Kubernetes Platform Engineer

Title: Senior Kubernetes Platform Engineer

Location: Peoria, IL, USA

Mode : Onsite

Job type : Contract

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