Staff Infrastructure Engineer

About Typeface We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. 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 scaleBuild and maintain Kubernetes clusters and container orchestration pipelines for high-availability servicesDevelop and evolve infrastructure-as-code (Terraform, Pulumi, or similar) to ensure reproducible, auditable environmentsImplement comprehensive observability — monitoring, logging, alerting, and tracing — to maintain system health and accelerate incident responseHarden infrastructure security posture through network policies, secrets management, IAM best practices, and compliance controlsOptimize cost, performance, and reliability of GPU and compute-intensive workloads that power generative AI capabilitiesCollaborate closely with Product, Engineering, and Security partners to define SLOs and drive continuous improvements in platform resilienceAutomate CI/CD pipelines and deployment workflows to enable fast, safe releases across environmentsMentor 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 scaleBachelor's or Master's degree in Computer Science, Engineering, or a related field Deep expertise with Kubernetes, Docker, and container orchestration in production environmentsStrong proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormationHands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including networking, compute, storage, and identity servicesSolid understanding of observability stacks (Prometheus, Grafana, Datadog, or similar) and incident management practicesExperience with security best practices for cloud-native environments — including network segmentation, secrets management, and compliance frameworksExcellent communication skills and the ability to thrive independently and in collaborative teamsBonus: 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. Benefits Competitive compensation — including salary, equity, and 401(k)Full medical, dental, and vision insurance for you and your familyHSA and FSA options to support your financial wellnessFlexible time off — including parental leaveWell-being programs — resources to support your mental and physical healthDaily lunch & snacksMentorship & impact — work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You’ll Love Working Here Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised). Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).