Senior AI Infrastructure Engineer, EDA Infrastructure

What you'll do

• Build and operate scalable telemetry pipelines for metrics, logs, traces, and events across multiple cluster types.
• Establish common instrumentation, collection, storage, and access patterns to ensure consistent telemetry consumption.
• Deliver dashboards, alerting systems, and analysis tools to improve service visibility and troubleshooting.
• Automate incident management, maintenance, and on-call workflows to reduce manual toil and improve responsiveness.
• Integrate operational data and lifecycle signals to enhance ownership, escalation, and post-incident learning.
• Maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory.
• Create consistent data models and integration pipelines connecting clusters, hardware, services, and teams.
• Provide self-service discovery capabilities for engineers to identify service ownership and support procedures.

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in infrastructure security, platform engineering, or security tooling.
• Proficiency in one or more programming languages such as Python, Go, TypeScript, or Java.
• Strong understanding of software and infrastructure principles applied in production environments.
• Ability to lead cross-functional initiatives across engineering, product, finance, and security teams.
• Experience building and operating incident-management processes with internal or external SaaS tools.
• Experience deploying and maintaining ML models in production systems with familiarity with AI agent frameworks.
• Experience building modern observability platforms for metrics, logs, traces, and profiling.