Kubernetes Platform Engineer - Remote & Growth

Satori Analytics

Kentucky

Hybrid

USD 90,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Training budget for certifications
Private insurance
Top-tier tech gear

Job summary

Satori Analytics is seeking a Kubernetes Engineer to build, operate, and continuously improve container platforms powering our data and AI workloads. You will work across cloud and on-premises environments, collaborating with senior engineers to deliver reliable, secure infrastructure.

You will contribute to production readiness, automate tasks, and help containerize workloads alongside Software, Data, and AI engineers.

Qualifications

  • 2–4 years of professional Kubernetes/DevOps experience.
  • Hands-on Kubernetes deployment, operation, and troubleshooting.
  • Experience with Docker and containerized apps.
  • Proficiency with Linux and networking fundamentals.
  • Experience with CI/CD and GitOps workflows.
  • Familiarity with Terraform and IaC.
  • English fluency and strong documentation skills.

Responsibilities

  • Build, operate and maintain Kubernetes environments across cloud and on-premises infrastructure.
  • Deploy and manage applications and platform services using Kubernetes, Helm and GitOps.
  • Support AKS environments and related Azure infrastructure.
  • Operate on-premises Kubernetes clusters including networking, storage, and upgrades.
  • Monitor environments and identify performance, reliability, and capacity issues.
  • Troubleshoot across container, Kubernetes, Linux, network and infra layers.
  • Improve CI/CD pipelines for containerized workloads and infra.
  • Automate repetitive tasks using Terraform, Bash, Python, PowerShell.

Skills

Kubernetes
DevOps
Cloud
SRE
Infrastructure Engineering

Tools

Docker
Helm
GitOps
Terraform
AKS
Prometheus
Grafana
OpenTelemetry
Argo CD
Flux

Job description

Satori Analytics is seeking a Kubernetes Engineer to build, operate, and continuously improve container platforms powering our data and AI workloads. You will work across cloud and on-premises environments, collaborating with senior engineers to deliver reliable, secure infrastructure.

You will contribute to production readiness, automate tasks, and help containerize workloads alongside Software, Data, and AI engineers.

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