Kubernetes Engineer

GCS Recruitment

Maple Shade Township (NJ)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

GCS Recruitment is seeking a Site Reliability Engineer to build, maintain, and support reliable cloud platforms in a fast-paced environment. The role emphasizes Kubernetes, automation, monitoring, and production support to improve platform reliability.

You will collaborate with engineering teams to implement platform enhancements, automate infrastructure, and participate in on-call rotations. A minimum of 4+ years in SRE/DevOps roles is expected, with strong scripting and cloud-native expertise.

Qualifications

  • 4+ years of experience in SRE, DevOps, Cloud, or Platform Engineering
  • Strong troubleshooting, automation, and production support skills
  • Experience with cloud-native technologies and distributed systems
  • Experience with infrastructure as code and CI/CD practices

Responsibilities

  • Manage and support cloud infrastructure and Kubernetes environments
  • Automate infrastructure using Infrastructure as Code (IaC)
  • Monitor, troubleshoot, and optimize production systems
  • Support CI/CD pipelines and deployment automation
  • Participate in incident response, root cause analysis, and reliability improvements
  • Collaborate with engineering teams on platform enhancements
  • Develop automation using scripting and DevOps best practices
  • Participate in production support and on-call rotations

Skills

Cloud platforms
Kubernetes
Docker
Terraform
Monitoring tools
CI/CD
Git
Scripting (Bash/Python)

Education

4+ years in SRE/DevOps/Platform Engineering

Tools

Terraform
Prometheus
Grafana
CloudWatch
Datadog

Job description

Job Summary

We are seeking a Site Reliability Engineer (SRE) to build, maintain, and support reliable, scalable, and secure cloud platforms. The ideal candidate will have experience with cloud infrastructure, Kubernetes, automation, monitoring, and production support while working closely with engineering teams to improve platform reliability and operational excellence.

Key Responsibilities
  • Manage and support cloud infrastructure and Kubernetes environments.
  • Automate infrastructure using Infrastructure as Code (IaC).
  • Monitor, troubleshoot, and optimize production systems.
  • Support CI/CD pipelines and deployment automation.
  • Participate in incident response, root cause analysis, and reliability improvements.
  • Collaborate with engineering teams on platform enhancements.
  • Develop automation using scripting and DevOps best practices.
  • Participate in production support and on-call rotations.
Required Skills
  • Experience with AWS, Azure, or GCP.
  • Kubernetes and Docker.
  • Terraform or similar IaC tools.
  • Monitoring tools such as Prometheus, Grafana, CloudWatch, or Datadog.
  • CI/CD pipelines and Git.
  • Bash or Python scripting.
Qualifications
  • 4+ years of experience in SRE, DevOps, Cloud, or Platform Engineering.
  • Strong troubleshooting, automation, and production support skills.
  • Experience with cloud-native technologies and distributed systems.
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