Senior Site Reliability Engineer

Job description

Reliability

Ensure the reliability, scalability, and security of AI infrastructure supporting HPC & AI workloads.

Incident Management

Lead incident response, root cause analysis, and continuous improvement to minimize downtime and optimize service availability.

Performance Optimization

Identify and resolve bottlenecks in compute, storage, networking, and specialized hardware (GPUs, InfiniBand) to enhance AI system performance.

Infrastructure Automation

Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of AI infrastructure, including containerized environments (Kubernetes, Docker).

Technical Leadership

Provide technical guidance in cloud and AI infrastructure technologies, collaborating with cross-functional teams to drive innovation and best practices.

Customer Advocacy

Act as a customer advocate, focusing on service excellence and live site reliability for AI workloads.

Research & Innovation

Stay informed on emerging AI infrastructure technologies and industry trends, recommending adoption where beneficial. Master's Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration 12+ years of professional software engineering experience, with 8+ years in service operations, monitoring, and reliability improvement for infrastructure. 5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms. 1+ years experience with incident management and reliability engineering in cloud or AI environments.

Doctorate Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, or systems administration OR Master's Degree in Computer Science, Information Technology, or related field AND 6+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, or systems administration OR equivalent experience. 3+ years technical experience working with large-scale cloud or distributed systems. 1+ years experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem). 1+ years experience with large supercomputers and AI platforms. 1+ years experience with GPUs, InfiniBand, or similar high-performance technologies.

Publications and/or certifications related to cloud or AI infrastructure technologies a plus.