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Staff Infrastructure Engineer

Join Typeface as a Staff Infrastructure Engineer to design and scale cloud infrastructure for AI workloads in a hybrid role.

Location
Palo Alto, CA, United States
Compensation
$210k–$240k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 2 hours ago

Last verified on the company career page 2 hours ago

Apply at Typeface → Save job Scanned from typeface.ai

What you'll build

  • Design, deploy, and manage production-grade cloud infrastructure
  • Build and maintain Kubernetes clusters
  • Develop infrastructure-as-code
  • Implement observability for system health
  • Automate CI/CD pipelines

Must have

  • 10+ years of Infrastructure, DevOps, or Site Reliability Engineering experience
  • Deep expertise with Kubernetes and Docker
  • Strong proficiency with infrastructure-as-code tools
  • Hands-on experience with major cloud providers

Nice to have

  • Experience scaling infrastructure for AI/ML workloads

Practical constraints

  • Hybrid role with in-office collaboration 3 days a week

Role intensity

40% coding

AI in the day-to-day

Building systems that power AI and GenAI workloads.

Requirements

Experience
10+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Equity/Stock Options Flexible Time Off Health Insurance Parental Leave

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.

Joblaze insights

  • Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Typeface's careers page October 21, 2026.
  • Salary band is above the typical range for DevOps/SRE roles (median ~$165,000).
  • Starts above 63% of 41 comparable staff devops/sre roles in United States that list Kubernetes we track (median $199,750 across 26 companies). See Kubernetes salary trends
  • Kubernetes appears in 66.2% of 77 comparable staff devops/sre roles in United States; Prometheus appears in 7.8% of 77 comparable staff devops/sre roles in United States.

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.

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