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NLB Services Linkedin · Posted 2d ago

System Engineer

San Diego, California, United States

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Indexed description

Job Description : Systems Engineer III (Cloud Infrastructure / DevOps)

Job Title: Systems Engineer III

Location: San Diego, CA (Hybrid – 2 days/week onsite)

Duration: 2 Years Contract

Pay Rate: $75/hr. on w2


Job Summary


Client is seeking a Systems Engineer III with hands-on experience in public cloud technologies and infrastructure automation. The ideal candidate will have experience managing cloud infrastructure across AWS, Azure, and Google Cloud Platform (GCP), using Infrastructure as Code (Terraform), and supporting production-scale cloud environments.


Responsibilities

  • Design, deploy, and support cloud infrastructure on AWS, Azure, and GCP.
  • Build and maintain Infrastructure as Code (IaC) using Terraform.
  • Troubleshoot cloud compute, storage, networking, and infrastructure issues.
  • Support cloud services running across regional and global environments.
  • Automate infrastructure provisioning and operational tasks.
  • Build and maintain CI/CD pipelines.
  • Write automation scripts using Bash and/or Python.
  • Configure and manage Kubernetes-based workloads.
  • Manage cloud networking, including VPCs, VNets, subnets, routing, and connectivity.
  • Implement and support IAM (Identity & Access Management) solutions.
  • Collaborate with engineering teams using Agile/Scrum methodologies.


Required Qualifications

  • 3+ years of hands-on experience with AWS, Azure, and Google Cloud Platform.
  • 3+ years of Terraform/Infrastructure as Code experience.
  • 2+ years of Kubernetes administration.
  • 2+ years of CI/CD pipeline implementation.
  • 2+ years of Linux administration and Bash/Python scripting.
  • Experience with cloud networking (VPC, VNet, routing, subnets).
  • Experience managing IAM and cloud security.
  • Strong troubleshooting skills in production cloud environments.
  • Experience working in Agile/Scrum teams.


Preferred Qualifications

  • DevOps or Cloud certifications (AWS, Azure, or GCP).
  • Experience supporting enterprise-scale cloud environments.
  • Knowledge of automation and infrastructure best practices.
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