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Tesla AI Infrastructure Solutions Architect

1 week ago

Fremont, California, United States Tesla Full time

About the Role

We are seeking a highly skilled Solutions Architect to join our team as a Tesla AI Infrastructure Solutions Architect. In this role, you will be responsible for designing and implementing end-to-end observability across our AI 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.