<div class="content-intro"><p><strong><span data-contrast="none"><span data-ccp-parastyle="paragraph" data-ccp-parastyle-defn="{"ObjectId":"aaed607e-c2a3-5841-9fb4-41037bfa0faf|1","ClassId":1073872969,"Properties":[201342446,"1",201342447,"5",201342448,"1",201342449,"1",469777841,"Times New Roman",469777842,"Times New Roman",469777843,"Times New Roman",469777844,"Times New Roman",201341986,"1",469769226,"Times New Roman",268442635,"24",469775450,"paragraph",201340122,"2",134233614,"true",469778129,"paragraph",335572020,"1",335559740,"240",201341983,"0",134233118,"true",134233117,"true",469778324,"Normal"]}">About</span><span data-ccp-parastyle="paragraph"> Typeface<br></span></span></strong><span data-contrast="auto">We he</span><span data-contrast="none">lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.</span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559685":0,"335559737":0,"335559738":0,"335559739":160,"335559740":278}"> </span></p> <p><span data-contrast="none">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.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559739":160,"335559740":240}"> </span></p></div><p><strong>What You'll Do</strong></p> <p>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.</p> <p>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.</p> <p><strong>How You'll Make an Impact:</strong></p> <ul> <li>Design, deploy, and manage production-grade cloud infrastructure on AWS, GCP, or Azure to support AI/GenAI workloads at scale</li> <li>Build and maintain Kubernetes clusters and container orchestration pipelines for high-availability services</li> <li>Develop and evolve infrastructure-as-code (Terraform, Pulumi, or similar) to ensure reproducible, auditable environments</li> <li>Implement comprehensive observability — monitoring, logging, alerting, and tracing — to maintain system health and accelerate incident response</li> <li>Harden infrastructure security posture through network policies, secrets management, IAM best practices, and compliance controls</li> <li>Optimize cost, performance, and reliability of GPU and compute-intensive workloads that power generative AI capabilities</li> <li>Collaborate closely with Product, Engineering, and Security partners to define SLOs and drive continuous improvements in platform resilience</li> <li>Automate CI/CD pipelines and deployment workflows to enable fast, safe releases across environments</li> <li>Mentor and support fellow engineers, contributing to a strong infrastructure engineering culture</li> </ul> <p><strong> </strong></p> <p><strong>What You Bring:</strong></p> <ul> <li>10+ years of Infrastructure, DevOps, or Site Reliability Engineering experience, with a strong track record of building and operating production systems at scale</li> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field </li> <li>Deep expertise with Kubernetes, Docker, and container orchestration in production environments</li> <li>Strong proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation</li> <li>Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including networking, compute, storage, and identity services</li> <li>Solid understanding of observability stacks (Prometheus, Grafana, Datadog, or similar) and incident management practices</li> <li>Experience with security best practices for cloud-native environments — including network segmentation, secrets management, and compliance frameworks</li> <li>Excellent communication skills and the ability to thrive independently and in collaborative teams</li> <li>Bonus: Experience scaling infrastructure for AI/ML or generative AI workloads, including GPU orchestration</li> </ul> <p><strong> </strong></p> <p><strong>Location</strong></p> <p>This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.</p> <p><strong>Base Salary</strong></p> <p>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.</p><div class="content-conclusion"><p><strong>Benefits</strong></p> <ul> <li>Competitive compensation — including salary, equity, and 401(k)</li> <li>Full medical, dental, and vision insurance for you and your family</li> <li>HSA and FSA options to support your financial wellness</li> <li>Flexible time off — including parental leave</li> <li>Well-being programs — resources to support your mental and physical health</li> <li>Daily lunch & snacks</li> <li>Mentorship & impac