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.
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.
Deep expertise 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)
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
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
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
Access to premium AI tools such as Cursor, ChatGPT, and others to supercharge your work
Snacks at the office
Paid Time Off (PTO): Flexible vacation policy
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