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Tesla Observability Software Engineer AI Infrastructure United States, California, Fremont 980948315
23.04.2025
What You’ll Do What You’ll Bring
- Design, develop and maintain observability solutions & tools, including monitoring, logging, and alerting systems, to improve system visibility and performance
- Create dashboards & automated alerts using tools such as Grafana, Prometheus, Splunk, Catchpoint to enhance monitoring frameworks & 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
- 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 for High performance computing, Slurm, GPU architecture & 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
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