Data security platform for hybrid multicloud and confidential computing
Fortanix builds cryptographic and confidential-computing infrastructure for enterprises managing sensitive data across cloud and on-premises environments. The tech stack reveals a dual-track architecture: HSM/KMS integrations across AWS, Azure, and GCP paired with Intel SGX/TDX and AMD SEV enclaves, plus a heavy Rust + Kubernetes microservices layer — indicating a shift toward enclave-resident services and API-first extensibility. Active hiring is heavily weighted toward senior engineers (13 of 18 roles), with projects centered on microservices, LLM integration, and secure enclave deployment, suggesting they're scaling both the platform and customer integration surfaces.
Fortanix is a data security company founded in 2016, headquartered in Santa Clara, California, with 201–500 employees. The platform focuses on data exposure management and confidential computing, helping enterprises discover, assess, and remediate data risks in hybrid multicloud environments without relying solely on perimeter defense. Core capabilities span HSM-as-a-service, database encryption, tokenization, secrets management, and secure-enclave integration (Intel SGX, TDX, AMD SEV). The company addresses specific use cases around Zero Trust architecture and post-quantum cryptographic readiness. Sales and engineering operations span the United States, Australia, Netherlands, India, United Arab Emirates, and Canada.
Fortanix runs Kubernetes and Docker on Linux, with services in Rust, Python, Go, C/C++, and Java. The platform integrates AWS CloudHSM, AWS KMS, Google Cloud KMS, and Azure Key Vault, plus Intel SGX/TDX and AMD SEV for confidential computing. Cloud infrastructure spans AWS, Azure, and GCP.
Yes. Fortanix has 10 active engineering roles posted, with 13 of 18 total open positions at senior level. Hiring is accelerating across the United States, Australia, Netherlands, India, United Arab Emirates, and Canada.
Active projects include enclave-resident Rust services, microservices deployment in hybrid cloud, LLM performance enhancement, generative AI platform infrastructure, APIs and SDKs for customers, and a partner training program. The work reflects movement toward shift-left security and scalable infrastructure.
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