Join Typeface as a Staff Infrastructure Engineer to design and scale cloud infrastructure for AI workloads in a hybrid role.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Joblaze summary
The Staff Infrastructure Engineer at Typeface is responsible for designing and scaling the cloud infrastructure that supports AI workloads, ensuring high reliability and performance. Key skills include expertise in Kubernetes, infrastructure-as-code tools like Terraform, and experience with major cloud providers such as AWS or GCP. This role is suited for seasoned professionals with over a decade of experience in infrastructure or DevOps, particularly those with a background in AI or machine learning environments. Typeface is a fast-growing startup backed by major investors, emphasizing collaboration and innovation.
Quick facts
- Is the Staff Infrastructure Engineer role remote?
- It's hybrid — Typeface expects some on-site time in Palo Alto, CA, United States.
- What's the salary range?
- Typeface lists $210,000–$240,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Staff Infrastructure Engineer role.
- Where is the role based?
- Typeface is hiring for this position in Palo Alto, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Datadog, Docker, GCP, Grafana.
- What seniority level is this role?
- Typeface targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Infrastructure Engineer role at Typeface.
From the original posting
About Typeface
We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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
Why You’ll Love Working Here
Standard company text repeated across Typeface's postings is omitted here.