Data security platform for encryption, key management and confidential computing
Fortanix builds data security tooling spanning key management, HSM services, tokenization and confidential computing for hybrid multicloud estates. Its stack integrates directly with AWS CloudHSM, AWS KMS, Google Cloud KMS and Azure Key Vault, and pairs Rust, C++ and Go with a heavy test-automation layer (Cypress, Playwright, JMeter, Gatling). Accelerating, senior-weighted engineering hiring centers on Key Insight backend services and cloud integrations.
Fortanix is a privately held data security company founded in 2016 and headquartered in Santa Clara, California, with 201–500 employees. It sells a unified platform that helps enterprises find, evaluate and fix exposure of sensitive and regulated data across on-premises and multiple public clouds. Core capabilities include hardware security modules delivered as a service, database encryption, tokenization, secrets management and confidential computing based on Intel SGX. The company hires across the United States, India and the United Kingdom, with engineering, sales, security and support functions.
Fortanix uses Python, Rust, C++, Go and Java on AWS, Azure, GCP and Kubernetes, with Terraform, Ansible, Docker, Jenkins, GitLab, CircleCI, Cassandra and Snowflake, plus HubSpot for go-to-market.
Fortanix is hiring in India, the United States and the United Kingdom, with engineering the dominant function and a senior-leaning seniority mix; hiring velocity is accelerating.
Current work includes Key Insight backend services and cloud integrations, scalable CI/CD pipelines, decoupling application and infrastructure environments, and customer proofs of concept and platform deployments.
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Fortanix's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.