QA Engineer - APAC

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Childcare support

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

QA Engineer - APAC India | Hybrid | Remote WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role KEY RESPONSIBILITIES - Own end-to-end product quality across AI workflows: Test Windsurf and Devin across onboarding flows, chat interactions, multi-file edits, agentic task execution, and autonomous workflows-thinking like a developer and testing like a user. - Design and execute comprehensive test strategies: Build and run functional, regression, integration, exploratory, and E2E test plans across product surfaces and releases. - Break down complex flows into testable scenarios: Identify edge cases, race conditions, state recovery failures, and real-world usage patterns that only emerge in production-like behavior. - Issue reproduction, documentation, and debugging: Reproduce, document, and debug issues across layers-distinguishing between UI defects, orchestration/system issues, and unexpected AI behavior; work with

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