Staff Infrastructure Software Engineer, Enterprise AI

Overview

Staff Infrastructure Software Engineer focused on enterprise AI infrastructure for knowledge retrieval, inference, and agentic workflows.

What you’ll do

• Architect multi-cloud systems and abstractions so the platform can run across existing cloud providers.
• Analyze build and test logs and metrics to identify improvements in the data and AI platform.
• Define infrastructure architectural patterns for secure, reliable, scalable agentic workflows.
• Improve CI/CD, test frameworks, data quality assurance, reconciliation, and anomaly detection.
• Design and champion low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems.
• Own development and maintenance of an agentic observability platform (logging, metrics, tracing, analytics).

What you’ll need

• 5+ years of full-time software engineering experience in a senior role.
• Deep understanding of CI/CD, Infrastructure-as-Code (e.g., Terraform, Helm charts), container orchestration (e.g., Kubernetes), and observability platforms (e.g., Datadog, Prometheus, Grafana).
• Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
• Security and compliance knowledge for enterprise environments, including access management, data isolation, and customer-specific VPC setups.
• Proficiency in Python or JavaScript/TypeScript and SQL.

Details

• Full-time role; base salary range in San Francisco, New York, and Seattle is $216,200–$270,250 USD.