Cloud Engineer(AWS + EKS + Kubernetes + Terraform)- Locals Only
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Role details
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Job description
We are seeking an experienced Cloud Engineer with 5-7 years of experience in AWS cloud engineering and software development. The ideal candidate will have strong hands-on expertise in AWS infrastructure, Kubernetes, Docker, Amazon EKS, Terraform/CloudFormation, GitHub Actions, and YAML-based CI/CD pipelines.
The candidate will be responsible for designing, developing, deploying, and maintaining scalable cloud infrastructure and containerized applications. Experience with NVIDIA GPU environments and workload orchestration platforms such as NVIDIA Run and NVIDIA OSMO is highly desirable., * Design, develop, test, and deploy AWS-based cloud applications and infrastructure.
- Build and maintain Kubernetes and Amazon EKS environments.
- Develop automated CI/CD pipelines using GitHub Actions and YAML.
- Provision and manage infrastructure using Terraform, CloudFormation, or CDK.
- Troubleshoot complex cloud, application, and infrastructure issues.
- Support production environments, including off-shift and weekend support when required.
- Collaborate with cross-functional engineering teams and internal customers.
- Perform integration testing, debugging, and customer acceptance testing.
- Maintain software quality, scalability, reliability, and engineering best practices.
Requirements
- 5-7 years of Cloud Engineering experience.
- 5+ years of hands-on AWS experience.
- Strong experience with Amazon EKS, Kubernetes, and Docker.
- Hands-on experience with GitHub, GitHub Actions, and YAML-based CI/CD pipelines.
- Infrastructure as Code (IaC) experience with Terraform, AWS CloudFormation, or AWS CDK.
- Experience deploying and managing cloud infrastructure and containerized applications.
- Strong programming/software development experience (5-7 years).
- AWS Associate or Professional-level certification.
- Bachelorβs degree required.
- Strong troubleshooting, debugging, and communication skills.
Preferred Skills:
- Experience with NVIDIA GPUs for AI/ML workloads.
- Hands-on experience with NVIDIA Run and NVIDIA OSMO.
- Experience with GPU workload orchestration and scheduling platforms.
- NVIDIA certifications are a plus.
- Experience with vehicle-related systems or automotive/industrial control systems is beneficial., * Total experience and relevant AWS experience.
- Confirmation of 100% onsite availability in Chicago, IL.
- Confirmation of availability for an in-person interview.
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