Secure AI Software Engineer

Stack

Responsibilities

• ▹Program and stabilize microservices, connecting backend data flows with advanced containerized inference runtimes
• ▹Secure endpoint development: design, expose, and optimize APIs for protected model ingestion, system lifecycle events, and inference requests
• ▹Integrate security sidecars and automated provisioning modules executing asymmetric decryption protocols (e.g. 4096-bit RSA) and cryptographic signature validation to enable attestation-gated asset release
• ▹Configure low-latency sidecar proxies and API gateways to maintain end-to-end encrypted pathways with strict mutual authentication (mTLS)
• ▹Maintain and update cloud-native configurations (Helm charts) to orchestrate isolated container environments across distributed clusters

Requirements

• ▹Professional fluency in Python, Rust, or C/C++ applied to performant backend services, API frameworks, or system microservices
• ▹Familiarity constructing CI/CD automated pipelines

About the company

Capacity's mission is to help teams do their best work through its AI-powered support automation platform; it has raised over $100 million from more than 150 investors.