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Typeface

Generative AI for brand-consistent content

Staff Infrastructure Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

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 (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.
  • Bonus: 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/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, including 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.

About the Company

Typeface

Generative AI for brand-consistent content

Typeface.ai builds a generative AI platform for personalized content creation aimed at businesses. It helps teams produce more content—up to ten times faster—while keeping each piece aligned with the brand’s voice, tone, personas, and product lines. The product works by learning a brand’s style from inputs and then generating content that matches that style; it can be integrated into existing workflows through popular apps and custom rules, making it easy to insert into marketing processes. Typeface differentiates itself by offering strong brand-adaptation and workflow integration, plus a focus on data privacy to prevent leakage or misuse of client information. Its business model is subscription-based, with additional revenue from partnerships (such as Salesforce) and a recent Salesforce Marketing Cloud integration that combines capabilities from both platforms. Its goal is to help businesses scale content creation efficiently while maintaining brand consistency and privacy.

Company size
201-500
Company stage
Series B
Total funding
$165M
Headquarters
Palo Alto, CA
Founded
2022

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