Senior Docker & Kubernetes Platform Engineer

Samsung Semiconductor

Taylor (TX)

On-site

USD 106,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
401(k) matching
Onsite café(s)
Parental leave
Paid PTO + holidays
Wellness programs

Job summary

Samsung Austin Semiconductor is seeking a data intelligence architect to design, deploy, and manage the Kubernetes‑based hosting strategy across on‑prem and cloud, in our new Taylor campus. You will troubleshoot the air‑gapped environment and drive scalable containerized workloads with automation.

You will lead cross‑functional collaboration across international teams, implement security and performance improvements, and develop custom automation tools to support large‑scale Kubernetes

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.
  • Extensive production experience with Kubernetes clusters on-Prem and cloud.
  • Strong containerization knowledge (Docker) and Helm charts.
  • Experience with CI/CD tools (Jenkins, GitLab CI) and networking in Kubernetes.

Responsibilities

  • Design, deploy, and maintain Kubernetes clusters on-premises and cloud environments.
  • Develop and implement Kubernetes best practices for managing containerized applications.
  • Collaborate with the DevOps team to automate deployment and scaling of applications using Kubernetes.
  • Monitor and troubleshoot Kubernetes clusters to ensure high availability and performance.
  • Work with developers to optimize application performance in Kubernetes environments.
  • Implement security measures and best practices to protect Kubernetes infrastructure and applications.
  • Conduct regular performance testing and capacity planning to ensure scalability of Kubernetes infrastructure.

Skills

Kubernetes
Containerization
Networking
CI/CD
Linux/Infra
Architectural planning

Education

Bachelor's degree in CS/Engineering

Tools

Docker
Jenkins
GitLab CI
Helm

Job description

Samsung Austin Semiconductor is seeking a data intelligence architect to design, deploy, and manage the Kubernetes‑based hosting strategy across on‑prem and cloud, in our new Taylor campus. You will troubleshoot the air‑gapped environment and drive scalable containerized workloads with automation.

You will lead cross‑functional collaboration across international teams, implement security and performance improvements, and develop custom automation tools to support large‑scale Kubernetes

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