About the Role

Senior Site Reliability Engineer role focusing on AI infrastructure reliability, scalability, and performance for generative AI workloads. Responsibilities include incident management, performance optimization, and automation of large-scale distributed systems. The role requires collaboration across teams and customer advocacy in a cloud environment.

Key Responsibilities

• Ensure reliability, scalability, and security of AI infrastructure
• Lead incident response and root cause analysis
• Identify and resolve performance bottlenecks in compute, storage, and networking
• Develop automation tools for deployment and monitoring
• Provide technical guidance and collaborate with cross-functional teams

Required Skills & Qualifications

Must Have:

• 4+ years technical experience in software engineering, network engineering, or systems administration OR Bachelor's Degree with 1+ year experience
• Proven ability to modify infrastructure software and collaborate across teams
• Proficient technical design, analytical, and debugging abilities
• 1+ years experience with incident management and reliability engineering in cloud or AI environments

Nice to Have:

• 5+ years technical experience OR Bachelor's Degree with 2+ years experience OR Master's Degree with 1+ year experience
• Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker)
• Experience with GPUs, InfiniBand, or similar high-performance technologies
• Proficiency in RDMA, MPI, and high-performance computing architecture
• Proficient in scripting (PowerShell, Shell script) and deep expertise in Linux

Benefits & Perks

• Industry leading healthcare