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Salary: USD 243,290 - 295,250 / annual
Roblox is building the platform and tools that empower a global community of developers and creators to build immersive 3D experiences. The App Test team owns the test automation platform that enables Roblox engineers to deliver reliable, high-quality experiences across the Roblox Universal App, spanning test frameworks, execution and orchestration, device-farm infrastructure, debugging tools, dashboards, and supporting infrastructure for end-to-end testing across mobile, desktop, console, and VR.
As a Senior Software Engineer on the App Test team, you will design, build, and scale tools and services that power the test automation lifecycle. You will work on foundational systems that enable engineers to author, select, execute, debug, maintain, and triage tests efficiently, while helping evolve the platform toward an AI-native testing experience.
Key responsibilities include:
- Build and scale test automation infrastructure: design, implement, and evolve frameworks, runners, orchestration services, device-farm integrations, and supporting infrastructure for reliable end-to-end testing across Roblox's supported platforms
- Advance the AI-native test lifecycle: develop intelligent tooling that improves test authoring, selection, execution, maintenance, and failure triage using AI to reduce manual effort
- Develop test orchestration and intelligence: build systems connecting test planning, selection, execution, and failure analysis for more efficient infrastructure use and faster feedback
- Improve test reliability and debugging: build tools and services that improve test stability, observability, failure diagnosis, and maintenance across a large evolving test ecosystem
- Shift quality earlier in the development lifecycle: integrate automated quality checks and actionable test feedback into development and CI/CD workflows
- Drive projects end to end: take ownership of technical initiatives from problem definition through design, implementation, production deployment, adoption, measurement, and continuous improvement
- Collaborate across engineering: partner with application, platform, QA, infrastructure, and developer productivity teams to develop scalable solutions
You will solve complex engineering problems across distributed systems, cross-platform automation, developer tooling, and AI orchestration. Your work will help teams identify regressions earlier, improve release confidence, and deliver software faster without compromising quality.
On-site presence is Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
REQUIREMENTS:
- Software engineering experience: designing, building, testing, and operating production software with a track record of solving complex engineering problems in large codebases
- Programming fundamentals: strong programming skills in C++, Python, Go, or another modern programming language, with emphasis on writing maintainable, reliable, and well-tested code
- Automation and infrastructure experience: building test automation frameworks, developer tools, distributed systems, CI/CD infrastructure, or other engineering platforms
- Systems and architecture: experience designing and evolving services or frameworks with understanding of scalability, reliability, observability, and operational excellence
- Cross-platform engineering: experience developing or supporting systems across multiple platforms or environments such as Windows, macOS, Linux, Android, or iOS
- Ownership and collaboration: ability to take ownership of projects, work effectively across teams, communicate technical decisions clearly, and deliver solutions that improve the experience of engineers using your tools
NICE TO HAVE:
- Experience with cross-platform test automation frameworks such as Appium, Selenium, or comparable tools, including mobile, desktop, or game testing
- Experience building CI/CD, release engineering, developer productivity, or internal platform systems
- Experience applying LLMs, agents, or other AI techniques to developer tools, including test authoring, intelligent test selection, test maintenance, failure analysis, or automated debugging
- Experience working with large-scale software development workflows and integrating automated quality checks into the development lifecycle
