Engineer Platform Operations (Remote)

Responsibilities:

• Develop and deploy scalable and efficient computing platforms to support AI and HPC workloads, ensuring they meet performance, reliability, and security requirements.
• Continuously optimize system performance by tuning hardware configurations, software parameters, and network settings to maximize throughput and minimize latency for AI and HPC applications.
• Integrate various tools and technologies to streamline workflows, automate repetitive tasks, and enhance overall system efficiency and manageability.
• Implement monitoring solutions to track system health and performance, promptly identifying and resolving issues to ensure minimal downtime and optimal functionality.
• Work closely with data scientists, researchers, and developers to understand their needs, provide technical support, and make adjustments to the platform to accommodate evolving requirements.

• Design, deploy, and maintain the underlying hardware and software infrastructure necessary for AI and HPC applications, ensuring it is scalable and robust.
• Monitor and optimize system performance by fine-tuning configurations, managing resources, and implementing best practices to achieve maximum efficiency.
• Develop and implement automation scripts and tools to streamline repetitive tasks, deployment processes, and system updates.
• Integrate various technologies, including cloud services, databases, and AI frameworks, to create cohesive and effective computing environments.
• Diagnose and resolve technical issues related to the platform, providing support to developers and data scientists to address performance bottlenecks and system failures.
• Ensure that the computing platform adheres to security standards and compliance requirements, implementing measures to protect data and infrastructure.
• Maintain detailed documentation of system configurations, processes, and procedures, and generate reports on system performance and resource utilization.
• Work closely with cross-functional teams, including data scientists, researchers, and software engineers, to understand their needs and provide solutions that support their objectives.

Qualifications:

• A bachelor’s degree in Computer Science, Engineering (such as Electrical or Software Engineering), Information Technology, or any related field.
• 5 or more years of experience in platform engineering, systems administration, or a related field, with a focus on high-performance computing or large-scale infrastructure management.
• Hands-on experience with AI or HPC environments, including managing and optimizing computational resources, is often required. This might involve working with HPC clusters, cloud computing platforms, or AI frameworks.
• Demonstrated experience with relevant technologies such as Linux/Unix systems, cloud platforms (e.g., AWS, Azure), scripting languages, and performance tuning tools.
• Proven track record of working on projects involving the design, implementation, and optimization of complex computing platforms, ideally with examples of successfully managed AI or HPC workloads.

• Knowledge of security best practices and tools for protecting infrastructure and data, including experience with identity management and access controls.
• Strong analytical and troubleshooting skills to quickly identify and resolve technical issues that impact system performance or stability.
• Effective verbal and written communication skills for collaborating with cross-functional teams and documenting technical processes.
• Several years of experience in platform engineering, systems administration, or related