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Job Description
Elevate AI hardware performance as a Senior Software Engineer specializing in observability. Deliver scalable monitoring solutions while ensuring seamless integration with backend APIs for the Inference platform. This position is crucial for a full-stack engineer focused on observability platforms, connecting software metrics with hardware signals.
You will be responsible for designing high-performance telemetry systems, ensuring reliability, and collaborating effectively across multiple teams to enhance understanding of system health. Your innovations will make observability a streamlined aspect of service deployment across AI hardware. Key Responsibilities:
- Own the architecture and roadmap for observability
- Create high-cardinality telemetry pipelines
- Collaborate with teams to define reliability metrics
- Unify hardware and software observability signals
- Foster improvement in engineering practices through mentorship Requirements:
- 8+ years of engineering experience, 4+ in observability
- Deep experience with observability ecosystems
- Strong command of Go and Python
- Expertise in Kubernetes and distributed architectures
- Experience in setting technical strategies Transform the observability landscape for AI applications and elevate engineering standards through impactful mentoring.
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