> Markdown version of [/jobs/ext/3860361-staff-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/3860361-staff-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Infrastructure Engineer

- **Company:** Typeface Inc.
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $210,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Networks, DevOps, Identity and Access Management, Key Management, Network Segmentation, Reliability Engineering, Prometheus, Datadog, Data Logging, Pulumi, Delivery Pipeline, Grafana, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, Docker
- **Published:** October 22, 2026
- **Apply:** https://startup.jobs/staff-infrastructure-engineer-typeface-10522394

## About the Role

* 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

## Description

* 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