Software Engineer, Secure AI
Who we are
Our mission at Capacity is to help teams do their best work through our AI-powered support automation platform. Capacity provides everything you need to automate support and business processes in one powerful omni-channel platform.
We believe that each individual voice, perspective and background brings inherent value to enhance our product, serve our customers and generate more ideas to solve complex problems. By continuing to hire talented, driven and humble teammates, we have the opportunity to see Capacity become a premier brand enterprise SaaS platform.
Capacity has raised over $100 million dollars from over 150 investors, giving us the opportunity to make ambitious investments in our team and big bets on our future. Our total addressable market is enormous. Any company that wants to grow revenue, reduce costs, and improve customer and employee satisfaction is an opportunity for Capacity to shine.
Why this job is exciting
The role:
This is a unique opportunity to work at the cutting-edge intersection of high-performance AI and confidential computing. You won't just be building another backend; you will be architecting the future of secure intelligence. In this role, you'll help solve the industry's most pressing challenge: how to run powerful AI models while maintaining absolute cryptographic certainty and data isolation. Joining our team means pushing the boundaries of what's possible in Trusted Execution Environments (TEEs) and ensuring that the next generation of enterprise AI is secure by design.
We are looking for an innovative Software Engineer to be the master weaver of our secure AI ecosystem. Rather than just following a manual, you will take ownership of the cross-layer integration and microservices architecture that makes our highly secure inference platform a reality. You will lead the charge in wiring complex multi-module backends and establishing the resilient endpoints that our customers depend on. Your mission is to implement sophisticated attestation-gated mechanisms, safeguarding critical model weights and execution boundaries within hardware-enforced environments. This is your chance to turn complex security protocols into seamless, high-performance reality.
Responsibilities:
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Multi-Module & Application Integration: Program and stabilize core microservices, bridging backend data pipelines with advanced containerized inference runtimes to ensure seamless data flow.
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Secure Endpoint Development: Design, expose, and optimize stable APIs for protected model ingestion, system lifecycle events, and inference requests.
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Cryptographic Boundary Assembly: Integrate security sidecars and automated provisioning modules executing asymmetric decryption protocols (e.g., 4096-bit RSA) and cryptographic signature validation to facilitate attestation-gated asset release.
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Network & Gateway Routing: Configure low-latency sidecar proxies and API gateways to maintain end-to-end encrypted pathways utilizing strict mutual authentication (mTLS).
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Workload Orchestration: Maintain and update cloud-native application configurations (such as Helm charts) to orchestrate isolated container runtimes across distributed execution clusters.
Requirements:
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Core Systems Programming: Professional fluency in Python, Rust, or C/C++ applied to performant backend services, API frameworks, or system microservices.
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DevOps & Automation Agility: Familiarity constructing continuous integration and continuous deployment (CI/CD) automated pipelines, container orchestration scripts, and automated validation frameworks to facilitate continuous software updates.
Nice-to-haves:
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Applied Cryptography Essentials: Knowledge of digital certificate management, public key infrastructure (PKI), asymmetric encryption tools (GPG), and transport security protocols (TLS 1.3/mTLS).
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Hardware Security Foundations: Conceptual or practical familiarity with Trusted Execution Environments (TEEs), con