Staff Infrastructure Engineer

Typeface • Palo Alto, CA

7h • $210,000 - $240,000 • Hybrid

About The Position

Typeface is seeking a Staff Infrastructure Engineer to help lead core parts of its platform. The role designs, builds, and scales cloud infrastructure for AI and generative AI workloads, ensuring reliability, security, and performance as the company grows. The engineer will help shape the backbone of a platform used by Fortune 100 companies, building resilient, observable systems that can scale with AI workloads. This is a hybrid role based in Palo Alto, California, with three in-office days per week.

Requirements

• 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 such as Prometheus, Grafana, or Datadog, and incident management practices.
• Experience with cloud-native security best practices, including network segmentation, secrets management, and compliance frameworks.
• Excellent communication skills and ability to work independently and collaboratively.

Nice To Haves

• Experience scaling infrastructure for AI/ML or generative AI workloads, including GPU orchestration.

Responsibilities

• Design, deploy, and manage production-grade cloud infrastructure on AWS, GCP, or Azure to support AI and generative AI workloads at scale.
• Build and maintain Kubernetes clusters and container orchestration pipelines for highly available services.
• Develop and evolve infrastructure-as-code using Terraform, Pulumi, or similar tools to create reproducible, auditable environments.
• Implement monitoring, logging, alerting, and tracing to maintain system health and accelerate incident response.
• Strengthen infrastructure security 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 with Product, Engineering, and Security partners to define SLOs and improve platform resilience.
• Automate CI/CD pipelines and deployment workflows to enable fast, safe releases across environments.
• Mentor and support fellow engineers and contribute to a strong infrastructure engineering culture.

Benefits

• Competitive compensation, including salary, equity, and 401(k).
• Full medical, dental, and vision insurance for employees and their families.
• HSA and FSA options.
• Flexible time off, including parental leave.
• Well-being programs and resources supporting mental and physical health.
• Daily lunch and snacks.
• Mentorship and the opportunity to work closely with AI leaders on shipped products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior