Senior Kubernetes Platform Engineer

System One Holdings, LLC

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in DevOps, SRE, or platform engineering with hands-on Kubernetes experience.
  • Proven management of production Kubernetes environments, particularly Amazon EKS, at scale.
  • Experience overseeing the full Kubernetes lifecycle from provisioning to retirement.
  • Strong understanding of AWS security and networking fundamentals.
  • Proficient in automation tools like Terraform or CloudFormation.
  • Skilled in setting up monitoring and alerting for containerized workloads.
  • Familiarity with Kubernetes security practices such as RBAC and secrets management.

Responsibilities

  • Own the full Kubernetes lifecycle, ensuring high availability and operational control.
  • Optimize networking and secure traffic flows while implementing resilience and autoscaling.
  • Establish observability practices for metrics, logs, and alerting to enhance platform reliability.
  • Implement industry-standard security best practices for Kubernetes environments.
  • Automate platform operations using Infrastructure as Code and GitOps workflows.
  • Support incident response and troubleshoot performance issues in production services.
  • Manage multiple production Amazon EKS environments and oversee their lifecycle management.

Benefits

  • Direct hire opportunity with a focus on professional growth and development.
  • Work with cutting-edge technology in a rapidly evolving field.
  • Engage in hands-on management of critical production environments.
  • Ability to influence platform standardization across teams.
Full Job Description
Job Title: Senior Kubernetes Platform Engineer
Location: Lafayette, LA, Knoxville, TN, Columbia, SC, Birmingham, AL
Type: Direct Hire

Responsibilities

  • Own the full Kubernetes lifecycle - from cluster provisioning and upgrades to node management and deprecation planning - ensuring high availability and operational controls across all environments.
  • Optimize networking, ingress, and secure traffic flows, implement workload reliability patterns such as autoscaling and resilience testing.
  • Establish observability practices for metrics, logs, traces, and alerting to ensure platform reliability.
  • Implement security best practices, including RBAC, policy enforcement, image controls, secrets management, and runtime hardening.
  • Build platform automation using Infrastructure as Code and GitOps workflows.
  • Support incident response and troubleshoot performance issues for containerized production services.
  • Manage multiple production Amazon EKS environments at scale, including provisioning, upgrades, and retirement planning.
  • Configure and manage AWS networking and security components such as VPC, IAM, load balancers, and storage integrations.
  • Implement container deployment strategies and reliability engineering practices like autoscaling, resource tuning, and scheduling.

Requirements
  • 5+ years experience in DevOps, SRE, or platform engineering, with significant hands-on Kubernetes production experience.
  • Solid track record managing production Kubernetes environments, especially Amazon EKS, at scale.
  • Experience owning the full cluster lifecycle - provisioning, upgrades, node pools, and retirement planning.
  • Strong knowledge of AWS networking and security fundamentals: VPC, IAM, load balancers, and storage integrations.
  • Hands-on experience with container deployment strategies and reliability engineering (autoscaling, resource tuning, scheduling).
  • Practical automation skills using Terraform or CloudFormation.
  • Experience setting up monitoring, logging, and alerting for containerized workloads.
  • Familiarity with Kubernetes security practices - RBAC, policy enforcement, secrets management, image hardening.
  • Bonus: Exposure to GitLab CI/CD pipelines for Kubernetes deployments.
  • Bonus: Experience standardizing platforms or managing multiple clusters across teams.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.


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