Software Engineer, Secure AI

Program and stabilize core microservices bridging backend data pipelines with containerized inference runtimes. Design, expose, and optimize stable APIs for protected model ingestion, system lifecycle events, and inference requests. Integrate security sidecars executing asymmetric decryption protocols and cryptographic signature validation to facilitate attestation-gated asset release. Configure low-latency sidecar proxies and API gateways to maintain end-to-end encrypted pathways utilizing strict mutual authentication. Maintain and update cloud-native application configurations to orchestrate isolated container runtimes across distributed execution clusters. This role sits at the intersection of high-performance AI and confidential computing, focusing on architecting secure intelligence within Trusted Execution Environments. Candidates must demonstrate professional fluency in Python, Rust, or C/C++ for performant backend services and possess familiarity with CI/CD pipelines and container orchestration.