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Our engine, Titan, powers some of the highest-grossing games in mobile – titles that have generated billions in revenue and reach hundreds of millions of players. We are investing heavily into the future of Titan, and as part of that investment we're building a brand-new Reliability team: an autonomous, high-skill group that will work alongside our engine teams, empowering them to work safer, faster, and easier through better infrastructure, automation, and feedback loops. The role that Reliability plays is crucial to the success of Titan's future. As agentic workflows become more common the pace of iteration rises, and confidence in what we ship becomes the bottleneck. We see this team as a strategic bet in solving that problem — building the validation surfaces, automation, and reliability loops that help our engine teams move faster without increasing risk to what matters most – our games and players. This is an AI-forward engineering team by design. We are not treating AI as a side tool; we are building around the reality that modern engineering will increasingly depend on AI-assisted workflows for validation, automation, and test generation — with strong engineering judgment and clear guardrails. This role is client-leaning, focused on the engine and runtime: C++, mobile platforms, runtime behaviour, performance, and the practical challenges of validating shared engine changes before they reach games.
Job Responsibility:
Build & evolve automated reliability foundations: including validation workflows, regression detection, integration stability, and performance/stability signals
Establish and grow realistic end-to-end validation surfaces across real devices and real services, so issues are caught before they reach games
Improve how shared engine changes are validated against real game integrations, reducing manual pain and making confidence more repeatable
Create and maintain tooling, infrastructure, and test surfaces that engine and horizontal teams can rely on
Partner with client, server, and live-ops teams to make systems testable and reduce surprises
Apply modern AI-assisted workflows to validation, automation, and test generation in pragmatic, well-guardrailed ways
Partner closely with client, server, and live-ops teams to make systems more testable and reduce downstream surprises
Contribute directly to priority technical work where improving testability or validation unlocks broader reliability gains
Requirements:
Strong professional experience in modern C++
Engine/runtime development experience, with comfort debugging complex cross-platform issues across platforms such as iOS, Android, macOS, or Windows
Strong instincts around testing and validation strategy: you understand the trade-offs between unit, integration, and end-to-end testing, and where each creates the most value
Experience with build systems, automation, and developer tooling such as CMake, CI pipelines, and scripting
Strong collaboration skills and the ability to work effectively across teams without adding unnecessary process overhead
Interest in AI-assisted engineering workflows, with good judgment about where they add leverage and where they need guardrails
Comfort operating in an ambiguous space and helping shape a new team's practices as it grows
Nice to have:
Experience with device automation, device farms, or test frameworks such as Catch2 or gTest
Experience with observability and debugging tools such as Sentry, logs, metrics, tracing, or dashboards
Experience improving testability, validation, or reliability in shared engine or platform code
Experience working across client and backend workflows, even if your main background is client-side
Hands-on experience using AI-assisted development tools as part of day-to-day engineering work