Full-Time

Staff Infrastructure Software Engineer, Enterprise AI at Scale

Company Scale
Location New York, NY; San Francisco, CA; Seattle, WA
Salary Competitive salary
Posted Posted 1 days ago

Job Description

We're looking for a Senior Infrastructure Software Engineer to build and scale our core infrastructure in a fast-paced environment. This team is key to our mission, directly enabling the deployment of these agentic flows for our customers.

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 you need

  • 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.

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