Staff Infrastructure Engineer

Typeface
Palo Alto, CA
Hybrid

Who this role is best for

Geared toward experienced infrastructure engineers comfortable with cloud-native systems and AI workloads, with a preference for in-office collaboration in Palo Alto, CA.

Best fit for

  • Experienced engineers with a strong background in Kubernetes and cloud infrastructure at scale
    — “Build and maintain Kubernetes clusters and container orchestration pipelines for high-availability services”
  • Candidates with a track record of implementing observability and incident response systems
    — “Implement comprehensive observability — monitoring, logging, alerting, and tracing”
  • Individuals who have mentored engineers and contributed to infrastructure culture
    — “Mentor and support fellow engineers, contributing to a strong infrastructure engineering culture”

Things to consider

  • Requires in-office presence for three days per week despite being a hybrid role
    — “This is a hybrid role based in Palo Alto, CA. We collaborate in-office 3 days a week.”
  • Compensation is based on skillset and experience, with a defined salary range
    — “The range for this role is $210,000-$240,000 plus equity. Actual compensation may vary based on level, experience, and skillset”

How to stand out

  • Highlight your experience with infrastructure-as-code and reproducible environments
    — “Develop and evolve infrastructure-as-code (Terraform, Pulumi, or similar)”
  • Emphasize your hands-on cloud provider experience, particularly with networking and compute
    — “Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), including networking, compute, storage, and identity services”
  • Showcase your ability to harden security in cloud-native environments
    — “Experience with security best practices for cloud-native environments — including network segmentation, secrets management, and compliance frameworks”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design, deploy, and manage production-grade cloud infrastructure
  • Build and maintain Kubernetes clusters
  • Develop and evolve infrastructure-as-code
  • Implement comprehensive observability
  • Harden infrastructure security posture
Typical background
10+ years of Infrastructure, DevOps, or Site Reliability Engineering experienceBachelor's or Master's degree in Computer Science, Engineering, or a related field

Skills & requirements

Required

Infrastructure EngineeringDevOpsCloud InfrastructureKubernetesContainer OrchestrationInfrastructure-as-codeObservabilitySecurity Best PracticesCI/CDMentorship

Preferred

Ai/genai WorkloadsGPU Orchestration

Stack & domain

AWSGCPAzureKubernetesDockerTerraformPulumiCloudformationPrometheusGrafanaDatadogCommunicationLeadershipCloud InfrastructureAIGenaiDevOpsSite Reliability Engineering

About the role

Original posting from Typeface via Greenhouse

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). 

Source: Typeface careers (Greenhouse)

Similar roles