Software Engineer

We’re looking for a Software Engineer to join our Runtime & KTLO (Keep-the-Lights-On) team, supporting a large-scale User Generated Content (UGC) platform that runs natively on VR headsets and streams to mobile and PC via cloud rendering. This is a backend-focused, production-operations role. You won’t be building new client features - you’ll be building the automation, monitoring, and self-healing systems that keep a live, high-traffic product stable, performant, and compatible across every surface it ships on, while reducing the manual operational burden on the team as much as possible.

What You’ll Do

• Build and maintain automation that keeps the application healthy in production - release pipelines, build health checks, crash triage, and incident detection
• Maintain and improve an AI-assisted code repair system that autonomously creates and lands fix diffs
• Develop tooling that automatically identifies broken builds, pinpoints the root-cause change, and recommends or executes fixes
• Monitor weekly deployments of the cloud rendering system, ensuring performance and compatibility between VR and mobile/PC users after every release
• Monitor production quality metrics and respond to regressions and outages
• Drive down recurring on-call and operational work - targeting an 80-90% reduction through automation
• Complete infrastructure and dependency migrations to keep CI/CD pipelines functional as upstream systems are retired

• 8+ years of professional software engineering experience, or equivalent
• Proven experience building and operating CI/CD, build, release, and cloud deployment pipelines at scale
• Experience operating cloud services and server-side fleets in production, including reliability, capacity, and latency management
• Experience building or operating AI-assisted developer tooling or agents that generate or repair code
• Experience building tooling that detects broken builds and traces failures back to their root-cause change
• Experience with production monitoring, crash triage, and incident response for a large-scale, multi-surface application
• A track record of reducing operational and on-call load through automation
• Experience completing infrastructure or dependency migrations without breaking downstream CI/CD

Top non-negotiables:

1. Experience building autonomous, self-healing AI systems that monitor metrics and take corrective action independently to keep performance within required thresholds
2. Experience deploying and maintaining backend services - specifically managing and monitoring deployments of a system like cloud/remote rendering, and verifying cross-platform compatibility (e.g., VR and mobile) after release

Nice to Have

• Experience with cloud game or application streaming, or remote rendering
• Experience with asset delivery or CDN pipelines at scale
• Experience with capacity, latency, or session-orchestration monitoring for streamed workloads
• Experience operating live-service or large-scale production applications (Live Ops)
• Familiarity with large monorepo build systems and dependency management
• Experience designing self-healing or auto-remediation systems