Quick overview
Job description
*Only w2 Candidates should appy
Cloud Engineer
<>Required Education- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- AWS Associate-level certification (Solutions Architect, Developer, or SysOps Administrator) or higher.
- AWS Professional-level certification preferred and strongly valued.
- Hands-on experience with NVIDIA GPUs supporting AI/ML workloads.
- NVIDIA certifications (such as NVIDIA Certified Associate or Professional) are a plus.
- Experience deploying and optimizing AI platforms and accelerated computing environments.
- 5-7+ years of experience as a Cloud Engineer, DevOps Engineer, or similar cloud infrastructure role.
- 5+ years of hands-on experience designing, implementing, and supporting solutions on Amazon Web Services (AWS).
- Strong proficiency with GitHub and GitHub Actions for source control, automation, and YAML-based CI/CD pipelines.
- Experience developing and deploying Infrastructure as Code (IaC) using AWS CloudFormation, Terraform, and/or AWS CDK.
- Expertise with Amazon EKS, Kubernetes, Docker, and containerized application deployment.
- Hands-on experience with NVIDIA Run:AI, NVIDIA OSMO, or comparable AI workload orchestration platforms.
- Strong software development background with 5-7 years of application development experience.
- Excellent analytical and troubleshooting skills with the ability to diagnose and resolve complex infrastructure and application issues.
- Strong verbal and written communication skills, with the ability to collaborate effectively across engineering, operations, and business teams.
- Proven ability to work independently while contributing to cross-functional initiatives and technical projects.
The Cloud Engineer will design, develop, test, deploy, and support cloud-native applications and infrastructure solutions. This role requires a highly motivated professional capable of independently managing complex technical assignments and driving scalable cloud solutions.
Primary responsibilities include:
- Design, build, and maintain cloud infrastructure and application environments on AWS.
- Develop, test, and deploy software and platform solutions that align with business objectives.
- Identify, troubleshoot, and resolve complex application, infrastructure, and platform-related issues, including occasional off-hours and weekend support.
- Implement and maintain Infrastructure as Code (IaC) and CI/CD automation frameworks.
- Manage and optimize Kubernetes-based platforms, including Amazon EKS and containerized workloads.
- Support AI/ML infrastructure utilizing NVIDIA GPU technologies and workload orchestration tools.
- Ensure adherence to software engineering best practices, security standards, and operational excellence.
- Collaborate with internal stakeholders and end users during requirements gathering, development, testing, and production support activities.
- Perform system integration, validation, and customer acceptance testing.
- Contribute to continuous improvement initiatives that enhance platform reliability, scalability, and performance.
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