Staff Infrastructure Engineer
About The Position
Typeface is hiring a Staff Infrastructure Engineer to lead core parts of its platform and design, build, and scale cloud infrastructure supporting AI and generative AI workloads. The role focuses on keeping infrastructure reliable, secure, performant, observable, and ready to scale for a platform used by Fortune 100 companies. This is a hybrid role based in Palo Alto, California, with three days per week in the office. The stated base salary range is $210,000–$240,000, plus equity; actual compensation may vary based on level, experience, and skillset. The engineer will work with Product, Engineering, and Security partners to define service-level objectives and continuously improve platform resilience. They will also mentor fellow engineers and contribute to the infrastructure engineering culture.
Requirements
- 10 or more 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 the 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 for AI and generative AI workloads at scale.
- Build and maintain Kubernetes clusters and container orchestration pipelines for high-availability services.
- Develop and evolve infrastructure-as-code to create reproducible, auditable environments.
- Implement monitoring, logging, alerting, and tracing to maintain system health and accelerate incident response.
- Harden infrastructure security using network policies, secrets management, IAM best practices, and compliance controls.
- Optimize cost, performance, and reliability of GPU and compute-intensive workloads.
- Collaborate with Product, Engineering, and Security partners to define SLOs and drive improvements in 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
- 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 products that ship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
