Software Engineer — Live Production & Automation (VR / Cross-Platform UGC Platform) 6-Month Contract | EMEARemote in UK Offering around £400 per day PAYE 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 DoBuild and maintain automation that keeps the application healthy in production — release pipelines, build health checks, crash triage, and incident detectionMaintain and improve an AI-assisted code repair system that autonomously creates and lands fix diffsDevelop tooling that automatically identifies broken builds, pinpoints the root-cause change, and recommends or executes fixesMonitor weekly deployments of the cloud rendering system, ensuring performance and compatibility between VR and mobile/PC users after every releaseMonitor production quality metrics and respond to regressions and outagesDrive down recurring on-call and operational work — targeting an 80–90% reduction through automationComplete infrastructure and dependency migrations to keep CI/CD pipelines functional as upstream systems are retiredWhat We're Looking For8+ years of professional software engineering experience, or equivalentProven experience building and operating CI/CD, build, release, and cloud deployment pipelines at scaleExperience operating cloud services and server-side fleets in production, including reliability, capacity, and latency managementExperience building or operating AI-assisted developer tooling or agents that generate or repair codeExperience building tooling that detects broken builds and traces failures back to their root-cause changeExperience with production monitoring, crash triage, and incident response for a large-scale, multi-surface applicationA track record of reducing operational and on-call load through automationExperience completing infrastructure or dependency migrations without breaking downstream CI/CDTop non-negotiables:Experience building autonomous, self-healing AI systems that monitor metrics and take corrective action independently to keep performance within required thresholdsExperience 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 releaseNice to HaveExperience with cloud game or application streaming, or remote renderingExperience with asset delivery or CDN pipelines at scaleExperience with capacity, latency, or session-orchestration monitoring for streamed workloadsExperience operating live-service or large-scale production applications (Live Ops)Familiarity with large monorepo build systems and dependency managementExperience designing self-healing or auto-remediation systems
Michelle Sutherland