Typeface is the enterprise marketing AI platform that orchestrates AI agents, brand intelligence, and workflows to create personalized, on-brand campaigns at scale. Backed by Lightspeed, GV and Madrona.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
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.
- 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...
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