Staff Software Engineer (Rust) - Confidential Computing Infrastructure

Fortanix•Santa Clara, CA

5h•Onsite

About The Position

At Fortanix we are pioneers in confidential computing and Confidential AI for hybrid and multicloud environments. We build technologies that protect sensitive data while it is in use -combining trusted execution environments (TEEs), advanced cryptography, and hardware-based isolation to secure applications, AI models, and data across clouds, on-premises infrastructure, and devices. Our platform enables organizations to run and manage confidential workloads and AI, reduce data exposure risk, and adopt Zero Trust architectures with strong runtime protections. We partner closely with leading cloud and silicon providers and bring together experts in cryptography, systems, and distributed computing to solve some of the most challenging problems in protecting data in use. We foster a collaborative, research-driven culture focused on advancing the state of the art in confidential computing and Confidential AI, enabling organizations to unlock the value of sensitive data while preserving privacy and security. We’re looking for a Staff Software Engineer (Rust) to join our Confidential Computing Management team - the group responsible for designing, building, and operating the confidential computing infrastructure that secures our Generative AI platform. This is a deeply hands-on role focused on building Rust services and infrastructure that run inside and around trusted execution environments (Intel SGX, Intel TDX, AMD SEV) across hybrid and multi-cloud environments. You’ll shape the architecture of a platform that enables secure, confidential AI workloads at scale. Location: Santa Clara (CA)

Requirements

8+ years of software engineering experience
3–5+ years of production Rust in systems, backend, or infrastructure
Strong experience building and operating distributed systems or platform infrastructure
Production Kubernetes experience (operators/controllers strongly valued)
Strong Linux systems programming and debugging skills
Cloud infrastructure experience (AWS, GCP, or Azure)
CI/CD and production deployment pipelines
Experience with distributed data stores (e.g., Cassandra, MongoDB, etc.)

Nice To Haves

Hands-on confidential computing / TEE development (Intel SGX, Intel TDX, AMD SEV, Nitro Enclaves, etc.)
Experience building or operating enclave or confidential workload platforms
Rust performance-sensitive systems (async, networking, storage, runtime)
Platform architecture ownership at scale
Observability and reliability engineering for distributed platforms
Secure or privacy-preserving AI infrastructure
Experience deploying AI/ML workloads on Kubernetes
Multi-tenant or regulated cloud environments

Responsibilities

Design and build Rust-based platform and infrastructure services for confidential computing environments
Design and implement services that execute inside TEEs and integrate attestation, sealing, and confidential workload orchestration
Architect and evolve our confidential computing infrastructure across hybrid and multi-cloud environments
Build and operate Kubernetes-based confidential workload platforms
Improve platform reliability, scalability, performance, and security posture
Define infrastructure architecture and influence cross-team technical direction
Mentor engineers in Rust, distributed systems, and confidential computing practices
Drive production excellence: observability, resilience, deployment, and capacity planning