Cloud Engineer 3

We are seeking an experienced Cloud Engineer to join a growing cloud infrastructure team supporting engineering groups that develop, build, test, and deploy solutions in AWS. This position is heavily focused on containerized cloud environments, Kubernetes/EKS, AWS infrastructure, Infrastructure as Code, and DevOps practices.

The team is currently focused on stabilizing and improving its internal cloud tooling and environments, with engineers increasingly becoming embedded with development teams to help them deliver and scale their solutions.

Responsibilities

• Manage and support AWS cloud infrastructure and containerized environments.
• Build, maintain, troubleshoot, and optimize Kubernetes and Amazon EKS environments.
• Support Docker-based workloads and AWS container services, including ECS.
• Develop and deploy AWS infrastructure using Infrastructure as Code tools such as Terraform, AWS CloudFormation, or AWS CDK.
• Support CI/CD processes and automated infrastructure deployments.
• Troubleshoot complex cloud, Kubernetes, infrastructure, and application issues.
• Partner directly with engineering teams as a cloud infrastructure subject matter resource.
• Support internal cloud platforms and tooling used by development teams.
• Participate in architecture discussions and help translate technical requirements into scalable cloud solutions.
• Support integrated testing and validation of infrastructure and application components.
• Maintain strong standards around cloud reliability, scalability, security, and operational support.
• Collaborate across Cloud, DevOps, security, architecture, and application development teams.

Cloud Computing, Software Engineering, Software Engineering, Cloud Computing, Technical Support, Testing, DevOps, Amazon Web Services (AWS), Embedded Systems, Machine Tool, * Approximately 5-7 years of Cloud Engineering, DevOps, infrastructure engineering, or closely related experience. Candidates with more or somewhat less experience may also be considered.

• Strong hands-on experience with Kubernetes, Amazon EKS, AWS ECS, and Docker.
• Strong experience with AWS infrastructure.
• Hands-on experience with Infrastructure as Code, such as:
• Terraform
• AWS CloudFormation
• AWS CDK
• Experience troubleshooting AWS, cloud infrastructure, containers, and Kubernetes environments.
• Strong understanding of cloud architecture, scalability, security, and production support.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts clearly and work effectively across engineering teams.
• High school diploma required. Degree is not required.

Preferred Qualifications

• Experience with NVIDIA GPUs and AI-focused cloud infrastructure.
• Experience with NVIDIA Run:ai or NVIDIA OSMO.
• Experience with CoreWeave or similar GPU/cloud workload platforms.
• Experience with GitHub, GitHub Actions, YAML-based CI/CD, or similar DevOps tooling.
• AWS certifications.
• Kubernetes certifications.
• NVIDIA certifications.
• Experience supporting cloud infrastructure used for AI/ML workloads.

Ideal Candidate

The strongest candidate will be especially comfortable discussing Kubernetes, EKS, ECS, Docker, AWS infrastructure, and Infrastructure as Code in depth. NVIDIA or GPU infrastructure experience will help candidates stand out but is not required.

This role also requires someone who can clearly explain what they personally owned in previous environments, how their infrastructure was designed, how workloads were scheduled and deployed, problems they encountered, and measurable results from their work.