Software Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop and sustain automation processes that ensure the reliability of a large VR application in production, encompassing release pipelines, build health, crash analysis, and incident detection.

• Enhance and maintain an AI-driven code repair system that autonomously creates and implements fix diffs.

• Create tools to automatically identify broken builds, determine root-cause changes, and suggest or execute fixes.

• Monitor production quality metrics and address any regressions and outages promptly.

• Alleviate the manual on-call workload through automation, aiming to reduce recurring operational tasks by 80–90%.

• Execute necessary infrastructure migrations to ensure the functionality of CI/CD pipelines as upstream dependencies become obsolete.

• Collaborate with the runtime and KTLO teams.

• Design and manage systems for a substantial UGC application across VR headsets, mobile devices, and PC via cloud streaming.

⛳️ Requirements

• Over 8 years of professional experience in software engineering, or an equivalent background.

• Demonstrated expertise in building and managing CI/CD, build, release, and cloud deployment pipelines at scale.

• Proficient in operating cloud services and server-side fleets in a production environment, focusing on reliability, capacity, and latency.

• Experience in developing or managing AI-assisted developer tools or agents that generate or repair code.

• Skilled in creating tools that detect broken builds and trace failures to their root causes.

• Experienced in production monitoring, crash analysis, and incident response for large-scale, multi-surface applications.

• A proven history of minimizing operational and on-call burdens through automation.

• Experience in executing infrastructure or dependency migrations without disrupting downstream CI/CD.

• Knowledge in cloud gaming or application streaming, or remote rendering.

• Familiarity with asset delivery or CDN pipelines at scale.

• Expertise in capacity, latency, or session-orchestration monitoring for streamed workloads.

• Background in operating live-service or large-scale production applications (Live Ops).

• Acquainted with large monorepo build systems and dependency management.

• Experience in designing self-healing or auto-remediation systems.

🏝️ Benefits

• Competitive salary.

• Healthcare contribution.

• Inclusion in the company pension scheme.

• Provision of work laptop and phone.

• 25 days of annual leave (pro-rata).

• Paid bank holidays.

• Opportunities for career advancement for top performers.