Site Reliability Engineer, AI Platform

At VONDER, we are building for a future where intelligence expands human possibility without competing for human presence.

We believe AI should become a quieter, more natural part of everyday life—helping people remember more, think clearly, and work with less friction. We pursue that vision through intelligent eyewear, a personal and everyday medium for reimagining how technology can belong in our lives. Our approach is simple:
fashion leads, and technology serves unnoticed.

VONDER is an AI-native team passionate about the next frontier of intelligent wearables. We value calm, deliberate execution, high standards without fear, and long-term thinking over short-term noise. We believe action brings clarity—and that meaningful work is best done by people who care deeply, think independently, and make one another better.

If you believe the future of AI should be more useful, more personal, and more respectful of human attention, we'd love to hear from you.

We're looking for an experienced Site Reliability Engineer (SRE) to build and scale the cloud infrastructure that powers our intelligent eyewear. You'll design, automate, and maintain highly available, high-performance environments that bridge our hardware, AI models, and user-facing applications. If you're passionate about system reliability, eliminating toil through automation, and pushing what's possible in AI and spatial computing backends, we'd love to hear from you.

This is an exempt, full-time salaried position based in Cupertino, CA. As a Site Reliability Engineer, you will design, build, and operate the scalable infrastructure across VONDER's AI product ecosystem. You will collaborate with backend engineers, product managers, and hardware teams to keep real-time voice, LLM inference, and many more services fast and dependable for users worldwide, from concept through production.

• Design, deploy, and scale our multi-region Kubernetes platform across mainstream cloud providers (GCP, AWS) to support our high-traffic AI services, including LLM inference pipelines, real-time voice, agent services, retrieval-based AI features, and spatial computing backends.
• Own the observability platform end to end. Build and maintain monitoring, logging, and tracing (Prometheus, Grafana), and define the SLIs and SLOs that actually reflect an AI product experience — response and first-audio latency, streaming session health, degradation and fallback behavior — not just CPU and pod restarts.
• Run incident response and make alerts trustworthy. Own alert routing and severity policy, participate in on-call, and lead blameless post-mortems. A meaningful part of this role is the unglamorous, high-leverage work of eliminating false positives and closing coverage gaps, so that when something pages, it's real.
• Collaborate closely with software and AI teams to embed reliability early in the development lifecycle, streamline CI/CD pipelines, and optimize performance across services and containerized environments.
• Enforce robust security postures by implementing network policies, configuring firewalls, and establishing rigorous backup and Disaster Recovery (DR) strategies.
• Mentor junior engineers and contribute to fostering a culture of engineering excellence and reliability as needed.

• Bachelor's degree or above in Computer Science, Electrical Engineering, or a related field; or equivalent practical experience with a demonstrated track record of exceptional work.
• 2+ years of professional experience in an SRE, Dev Ops, or Cloud Infrastructure role, preferably supporting high-concurrency consumer applications or AI services — including at least one production system you owned end to end and carried on-call for.
• Pr…