Design, deploy, and scale cloud infrastructure supporting AI and generative AI workloads. Build Kubernetes and container orchestration platforms, infrastructure-as-code, observability systems, security controls, CI/CD workflows, and resilient production environments. Optimize GPU and compute-intensive workloads for cost, performance, and reliability. Collaborate across Product, Engineering, and Security, define SLOs, improve incident response, and mentor infrastructure engineers.
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 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 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).
Typeface Palo Alto, California, USA Office
Palo Alto, CA, United States
Similar Jobs
Artificial Intelligence • Software
Build and operate multi-cluster, multi-region Kubernetes infrastructure across AWS, GCP, and Azure. Develop infrastructure tooling, CI/CD pipelines, isolated workloads, security controls, observability, SLOs, disaster recovery, and automated engineering workflows. Lead incident response, debugging, root-cause analysis, and postmortems while improving system reliability, performance, and uptime.
Top Skills:
AWSAzureCi/CdDisaster RecoveryDockerGCPGithub ActionsInfrastructure As CodeKubernetesLlmsMulti-Region DeploymentsObservabilityPulumiRbacSecrets ManagementSlisSlosTerraformWorkload Identity
Artificial Intelligence • Logistics • Transportation
Own and scale Pallet’s infrastructure supporting millions of AI agent runs. Responsibilities include improving capacity, performance, reliability, cloud and on-prem portability, enterprise integrations, observability, incident response, developer productivity, CI, deployments, and production debugging. The role sets technical direction, establishes SLOs, plans capacity, identifies bottlenecks, and leads reliability improvements.
Top Skills:
DatadogGCPOpentelemetryPostgresRedisTypescript
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Designs, deploys, and supports enterprise infrastructure across data centers, offices, engineering environments, and hybrid cloud platforms. Responsibilities include Active Directory, compute, virtualization, storage, Windows and Linux systems, backup and disaster recovery, monitoring, automation, Kubernetes support, and infrastructure resiliency. The role leads complex technical initiatives, troubleshoots critical incidents, develops infrastructure standards, partners with cybersecurity and networking teams, and mentors engineers. Regular on-site presence in the San Mateo Bay Area and occasional travel are required.
Top Skills:
Ad DsAnsibleAWSAzureAzure Virtual DesktopBashCitrixCmmcDell EmcDhcpDnsFirewallsGroup PolicyHyper-VKubernetesKvmLinuxMicrosoft Active DirectoryNetappNistPowershellPure StoragePythonRhelRoutingTcp/IpTerraformUbuntuVlansVMwareVmware HorizonWindows Server
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
