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Infrastructure Observability Specialist

1 week ago

Fremont, California, United States Tesla Full time

Job Summary

The role of the Infrastructure Observability Specialist at Tesla is to design, implement, and maintain end-to-end observability across our AI infrastructure stack. The successful candidate will develop the framework to benchmark performance and processing of pipelines, ensuring these programs run smoothly throughout the full infrastructure stack.

Key Responsibilities

  • Design and develop observability solutions and tools, including monitoring, logging, and alerting systems, to improve system visibility and performance.
  • Create dashboards and automated alerts using tools such as Grafana, Prometheus, Splunk, Catchpoint to enhance monitoring frameworks and ensure proactive issue detection and resolution.
  • Analyze system metrics and logs to identify bottlenecks, optimize application performance, and ensure system reliability end-to-end while scaling.
  • Partner with developers, DevOps engineers, and AI Infra teams to integrate observability best practices into the development and deployment lifecycle.
  • Assist in troubleshooting and resolving production issues by leveraging observability data to identify root causes and implement preventative measures.
  • Develop scripts or workflows to automate routine tasks and improve observability tool integrations.
  • Create and maintain documentation for observability tools, processes, and workflows to ensure knowledge sharing and accessibility.

Requirements

  • 3+ years of experience in software engineering, DevOps, or SRE roles with a focus on observability or monitoring.
  • Proficiency in monitoring and visualization tools (e.g., Prometheus, Grafana, Splunk, Catchpoint).
  • Strong analytical and troubleshooting skills with a focus on system performance and reliability.
  • Working knowledge of high-performance computing, Slurm, GPU architecture, and networking.
  • Working knowledge of logging systems and distributed tracing frameworks such as OpenTelemetry.
  • Expertise in scripting languages (e.g., Python, Bash) and familiarity with configuration management tools (e.g., Terraform, Ansible).
  • Experience with containerized environments (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure).
  • Strong analytical and troubleshooting skills with a focus on system performance and reliability.
  • Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.
  • Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent experience.