Cloud Infra Control Plane Service Engineering Architect

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Hope you're doing well!!

Please find the requirement below. If you find yourself comfortable with the requirement please reply back with your updated resume or call me back at

Position: Cloud Infra Control Plane Service Engineering Architect
Location: Remote

Duration: 6 Months

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Client won't be able to sponsor any Visa

Note : All candidates should expect to work 3pm pst thru 9pm pst at least 2 days a week as this is when calls exist with the team in South Korea.

Key Responsibilities:

Roles and Responsibilities:

Infrastructure Management:

• Manage and monitor computer clusters, ensuring high availability and performance.
• Implement and maintain automation scripts for infrastructure provisioning and management.

Design and Implementation:

• Design, implement, and maintain computer services for both GPU and non-GPU environments.
• Develop and optimize algorithms for high-performance computing tasks, especially in the AI/ML Training and Inference domain.

Performance Optimization:

• Analyze and optimize the performance of compute workloads.
• Implement best practices for resource utilization and efficiency.

Collaboration:

• Work closely with data scientists, researchers, and other engineering teams to understand and meet their compute requirements.
• Collaborate with hardware vendors to evaluate and integrate new technologies.

Security and Compliance:

• Ensure that compute services comply with security policies and industry standards.
• Implement and maintain security measures to protect data and compute resources.

Troubleshooting and Support:

• Provide support for compute-related issues, including debugging and resolving hardware and software problems.
• Develop and maintain documentation for troubleshooting procedures and best practices.

Continuous Improvement:

• Stay updated with the latest advancements in compute technologies and integrate them into the infrastructure.
• Continuously improve the reliability, scalability, and performance of compute services.

Qualifications:

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• NVIDIA and AI Certification

Experience:

• Years of experience managing on-premise GPU or non GPU systems
• Proven experience in managing and optimizing GPU and non-GPU computer environments.
• AI Infra Engineering building and operating skills
• Experience with high-performance computing (HPC) and parallel processing including Baremetel, large scale virtual environments.
• Implement virtualization architectures, leveraging expertise with Kubernetes distributions like OpenShift or Rancher, and cloud technologies on bare metal environments.
• Proficiency in hardware technologies such as SR-IOV, DPU, and GPU, with proven experience in implementing these technologies in virtualized and containerized environments. Technical Skills:
• Proficiency in programming languages such as Python, C , or similar.
• Experience with infrastructure as code (IaC) tools like Terraform, Ansible, or similar.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with Kubernetes underlying technologies with CRI, CSI, CNI, Operators, GPU device plugin, RMDA/InfiniBand integration
• Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and their compute services.

Soft Skills:

• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment.

Thanks & Regards:

Amar Pratap

Senior Technical Recruiter
VISION INFOTECH INC
Phone: ext 531
Direct:
Email:
368 Main Street, st #3, Melrose MA 02176

E-Verified Company

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