Senior AI DevOps Engineer

• Join a high-performing, innovative team that plays a pivotal role in Roku’s mission to be the best TV streaming platform in the world. Our team is responsible for delivering intuitive, high-quality mobile applications that enhance the way millions of users interact with Roku devices globally
• We pride ourselves on creating products that “just work” — seamlessly and effortlessly
• This commitment to excellence is driven by a collaborative, inclusive, and results-oriented culture where your contributions will directly impact the user experience of millions. If you’re passionate about building products that feel magical and intuitive, this is the team for you
• The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team
• Your role will use AI to design and build a completely autonomous, self-healing CI/CD and QA automation pipeline for multiple products with millions of users. You treat AI as your primary design tool not an add-on
• Every system you build should minimize human intervention, from code push to app store submission. You’ll own CI Pipeline Architecture: the path from git push to a green or red signal. Your job is to make that path fast, reliable, and cheap
• That includes QA Automation & Device Orchestration: the software systems that schedule, monitor, and recover the test infrastructure
• Design and maintain CI/CD pipelines for iOS and Android on GitLab CI
• Architect pipeline stages for fail-fast execution: cheapest checks first (lint, compile, static analysis), expensive checks last (device farm tests)
• Build smart test routing: analyze MR diffs to determine which tests need physical devices and which can run on emulators, so 80% of MRs never touch the device farm
• Build flaky test detection and quarantine systems. Classify failures as infrastructure-caused vs. code-caused so engineers trust the signal
• Automate release mechanics: code signing, versioning, TestFlight/Play Console uploads, dSYM and mapping file management. The goal is zero manual steps between merge and app store submission
• As agent-authored MR volume grows, ensure pipelines absorb the increase without degrading speed or starving human-authored MRs of resources
• Build the device reservation and orchestration system that assigns devices to CI jobs, prevents contention, and maximizes utilization without manual scheduling
• Design self-healing automation: health checks detect unresponsive devices, trigger remote recovery via API, and re-register them no human intervention required
• Define the device compatibility matrix which firmware/model combinations require real hardware, and which can run on emulators
• Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue for a device
• Use AI to identify failure patterns, predict infrastructure issues, and continuously optimize pipeline performance

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities

• AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount
• Advanced proficiency with AI-assisted development (Copilot, Claude Code, Cursor, or equivalent) you use AI as your default approach to writing code, building systems, and solving infrastructure problems
• 5+ year’s operating CI/CD infrastructure at scale, preferably GitLab CI
• Obsession with developer experience.You measure your success by how fast and reliably engineers get feedback, not by how complex your infrastructure is
• Experience designing autonomous, self-healing systems that detect, diagnose, and recover from failures without human intervention
• Deep understanding of mobile build systems (Xcode/xcodebuild, Gradle) and mobile-specific CI challenges (code signing, provisioning, multi-platform builds)
• Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health monitors, pipeline analytics dashboards
• Ability to travel up to 20%
• Data-driven decision making. You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work
• Experience with infrastructure-as-code (Terraform, Ansible, or equivalent) for managing cloud and on-premises infrastructure
• Working knowledge of WiFi and BLE protocols enough to understand why tests that exercise radio communication behaves differently from pure software tests
• Experience with mobile test automation frameworks (XCUITest, Espresso, Appium) not to write tests, but to understand what they need from infrastructure
• Experience scaling CI for high-volume, automated code generation (agentic engineering, bot-authored MRs)