Opportunity Description
Be a part of pioneering AI technology as an AI Systems Reliability Engineer. Ensure operational health and system reliability across varied environments in a hybrid working scenario.
In this role, you'll manage the reliability of systems critical to AI infrastructure. Collaborate effectively with engineering teams and clients to resolve challenges while improving observability and alerting systems. The role requires hands-on troubleshooting in distributed environments, ensuring production readiness across all systems.
Key Responsibilities:
• Ensure operational health of AI systems
• Troubleshoot networking and compute challenges
• Collaborate with teams to manage production incidents
• Enhance monitoring and alerting frameworks
• Develop automations to reduce operational workloads
Requirements:
• Experience in systems or site reliability engineering
• Deep knowledge of Linux systems and troubleshooting
• Familiarity with Prometheus and similar tools
...
In this role, you'll manage the reliability of systems critical to AI infrastructure. Collaborate effectively with engineering teams and clients to resolve challenges while improving observability and alerting systems. The role requires hands-on troubleshooting in distributed environments, ensuring production readiness across all systems.
Key Responsibilities:
• Ensure operational health of AI systems
• Troubleshoot networking and compute challenges
• Collaborate with teams to manage production incidents
• Enhance monitoring and alerting frameworks
• Develop automations to reduce operational workloads
Requirements:
• Experience in systems or site reliability engineering
• Deep knowledge of Linux systems and troubleshooting
• Familiarity with Prometheus and similar tools
...
Interested in this opportunity? Apply now through Expertini.
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