Senior / Staff Infrastructure Engineer

Posted 8 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
160K-300K Annually
Mid level
Artificial Intelligence • Cloud • Hardware • Software
The Role
The Senior / Staff Infrastructure Engineer will design and manage infrastructure for AI platforms, ensuring security, reliability, and scalability in cloud deployments. Responsibilities include deploying hybrid solutions and implementing infrastructure-as-code.
Summary Generated by Built In
About Apiphany

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.

Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together.

About the Role

As a Senior / Staff Infrastructure Engineer at Apiphany, you’ll design, build, and operate the infrastructure that powers our intelligence platform. You’ll be responsible for secure, reliable, and scalable cloud deployments, including the unique challenge of deploying into both internal and customer-managed clouds.

You’ll ensure our systems meet strict requirements for latency, availability, and compliance in highly data-heavy environments. You’ll also guide our security posture, implement infrastructure-as-code, and set the foundation for engineering teams to ship with confidence.

Experience & Skills
  • 3-5+ years of experience in cloud infrastructure (GCP preferred; AWS/Azure acceptable)

  • Experience deploying into customer-managed cloud environments and hybrid setups

  • Strong knowledge of application security (RBAC, ABAC, multi-tenant systems, identity/access frameworks, secrets management)

  • Hands-on experience with Kubernetes, Docker, Helm, and service orchestration

  • Proficiency with Infrastructure as Code (Terraform, Pulumi, or equivalent)

  • Experience designing systems to meet low-latency and high-throughput requirements

  • Background in monitoring, logging, and observability

  • Experience building and maintaining CI/CD pipelines for production systems

  • Skilled in networking (VPCs, peering, firewalls, service meshes)

Bonus Skills
  • Experience with data infrastructure (streaming frameworks, caching layers, big data stores)

  • Exposure to compliance frameworks (SOC2, ISO, HIPAA, FedRAMP)

  • Prior experience in high-security, regulated industries (aerospace, medtech, automotive)

  • Backend development experience (Python, APIs, distributed systems)

  • Exposure to ML infra

Personality & Values:
  • Startup mindset: bias toward action, rapid iteration, and ownership

  • Mission-driven and customer-obsessed

  • Self-motivated, collaborative, and eager to raise the bar for the whole team

  • Passion for building secure, reliable infrastructure that empowers product innovation

Compensation & Benefits:
  • Base Salary: $160,000–$300,000

  • Equity: 0.1%–1.0%

  • Visa Sponsorship

  • Hybrid work: 3 days in San Francisco office

  • 401(k) plan

  • Medical, Dental, and Vision insurance coverage

  • Snacks at the office

  • Paid Time Off (PTO): Flexible vacation policy

Top Skills

AWS
Azure
Ci/Cd
Docker
GCP
Helm
Kubernetes
Pulumi
Terraform
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The Company
HQ: San Francisco, California
28 Employees

What We Do

Billions of unstructured engineering and manufacturing data points turned into actionable insights.
The most accurate AI for product engineering and manufacturing unstructured data. 5x more relevant output than generalized LLMs.

Apiphany connects and transforms your existing unstructured systems, including RFPs, program planning, design specs, functional requirements, test data, purchasing, finance, field reports, and FMEAs, into real-time intelligence.

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