What You'll Do
We're looking for a Staff Infrastructure Engineer to help lead core parts of our platform. You'll design, build, and scale the cloud infrastructure that powers our AI and GenAI workloads - ensuring reliability, security, and performance as we grow.
This is your chance to shape the backbone of a platform trusted by Fortune 100 companies - building systems that are resilient, observable, and ready to scale with the next wave of AI.
How You'll Make an Impact:
- Design, deploy, and manage production-grade cloud infrastructure on AWS, GCP, or Azure to support AI/GenAI workloads at scale
- Build and maintain Kubernetes clusters and container orchestration pipelines for high-availability services
- Develop and evolve infrastructure-as-code (Terraform, Pulumi, or similar) to ensure reproducible, auditable environments
- Implement comprehensive observability - monitoring, logging, alerting, and tracing - to maintain system health and accelerate incident response
- Harden infrastructure security posture through network policies, secrets management, IAM best practices, and compliance controls
- Optimize cost, performance, and reliability of GPU and compute-intensive workloads that power generative AI capabilities
- Collaborate closely with Product, Engineering, and Security partners to define SLOs and drive continuous improvements in platform resilience
- Automate CI/CD pipelines and deployment workflows to enable fast, safe releases across environments
- Mentor and support fellow engineers, contributing to a strong infrastructure engineering culture
What You Bring:
- 10+ years of Infrastructure, DevOps, or Site Reliability Engineering experience, with a strong track record of building and operating production systems at scale
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Deep expertise with Kubernetes, Docker, and container orchestration in production environments
- Strong proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation
- Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including networking, compute, storage, and identity services
- Solid understanding of observability stacks (Prometheus, Grafana, Datadog, or similar) and incident management practices
- Experience with security best practices for cloud-native environments - including network segmentation, secrets management, and compliance frameworks
- Excellent communication skills and the ability to thrive independently and in collaborative teams
- Bonus: Experience scaling infrastructure for AI/ML or generative AI workloads, including GPU orchestration
Location
This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.
Base Salary
The range for this role is $210,000-$240,000 plus equity. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.