Senior Site Reliability Engineer

• 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 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 2+ years technical experience in software engineering, network engineering, or systems administration.
• 5+ years of hands-on experience developing and supporting infrastructure services for AI or cloud platforms.
• Proven ability to modify componentized, well-architected infrastructure software and collaborate across teams.
• 1+ years experience with incident management and reliability engineering in cloud or AI environments.
• Excellent interpersonal, communication, and collaboration skills.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• 7+ years technical experience in software engineering, network engineering,
  
  • OR systems administration
  • OR Bachelor's Degree in Computer Science, Information Technology,
  • OR related field AND 4+ years technical experience in software engineering, network engineering,
  • OR systems administration
  • OR Master's Degree in Computer Science, Information Technology,
  • OR related field AND 3+ years technical experience in software engineering, network engineering
• Experience in distributed systems and/or cloud platforms (Azure, Kubernetes, Docker, containers ecosystem).
• Experience with GPUs, InfiniBand, or similar high-performance technologies.
• Proficiency in RDMA (Remote Direct Memory Access), MPI (Message Passing Interface), and high-performance computing architecture.
• Proficient in scripting (PowerShell, Shell script, etc.) and deep expertise in Linux.

• 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.