Systems Engineer
Next Level Business Services Inc
San Diego, CA, United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Bash Shell
Cloud Computing
Cloud Computing Security
Continuous Integration
DevOps
Identity and Access Management
Subnetting
Python (Programming Language)
Linux System Administration
Routing
+9 more
Scrum Methodology
Cloud Services
Scripting
Google Cloud
Cloud Platform System
Amazon Virtual Private Cloud (VPC)
Kubernetes
Infrastructure Automation Frameworks
Terraform
Job description
- Design, deploy, and support cloud infrastructure on AWS, Azure, and Google Cloud Platform.
- 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.
Requirements
- 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 Google Cloud Platform).
- Experience supporting enterprise-scale cloud environments.
- Knowledge of automation and infrastructure best practices.
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