Cloud Engineer
Procyon TechnoStructure
Chicago, IL, United States
1 day ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Computing Platforms
Cloud Computing
Cloud Engineering
Continuous Integration
DevOps
Github
Cloud Services
Software Construction
Software Engineering
Systems Integration
+15 more
YAML
AWS Cdk
Graphics Processing Unit (GPU)
Spring Cloud
Infrastructure as Code (IaC)
Cloudformation
Containerization
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Machine Learning Operations
Terraform
Software Version Control
Docker
Job description
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., * 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.
Requirements
- Bachelorβs degree in Computer Science, Information Technology, Engineering, or a related field.
<>Required Certifications
- AWS Associate-level certification (Solutions Architect, Developer, or SysOps Administrator) or higher.
- AWS Professional-level certification preferred and strongly valued.
<>Preferred Qualifications
- 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.
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