Staff Infrastructure Software Engineer, Enterprise AI

What You'll Do:

• Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
• Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
• Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization.
• Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle.

What We're Looking For:

• Proven experience in a senior role, with 5+ years of full-time software engineering experience.
• Deep understanding of modern infrastructure practices, including CI/CD, IaC (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).
• Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups.
• Proficiency in Python or JavaScript/TypeScript, and SQL.
• Bonus points: Hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.