Job description

About Typeface We he lp 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 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. Benefits Competitive compensation — including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off — including parental leave Well-being programs — resources to support your mental and physical health Daily lunch & snacks Mentorship & 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 M enlo ($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).

Requirements

Must-haves

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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.
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
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
This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.
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
HSA and FSA options to support your financial wellness
Well-being programs — resources to support your mental and physical health

Nice-to-haves

Bonus: Experience scaling infrastructure for AI/ML or generative AI workloads, including GPU orchestration

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsgcpazurekubernetesci/cddockerml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness