Lead the development and implementation of AI-native Android test automation systems. Provide technical leadership across engineering teams to advance quality practices. Collaborate with cross-functional partners to integrate AI-driven testing solutions. Drive innovation in test infrastructure with a focus on scalability and reliability. Ensure alignment of testing strategies across mobile platforms and engineering domains
Responsibilities
- Lead projects and coordinate engineering teams to achieve program and service objectives
- Define technical direction and assign tasks to engineers for efficient execution
- Improve existing systems and processes to enhance efficiency and quality
- Apply judgment to balance trade-offs between time, quality, complexity, and risk
- Identify recurring patterns and develop generalized, scalable solutions
- Establish and refine standards for engineering rigor in collaboration with leadership
- Design and implement a reliable, maintainable Android test automation framework using Espresso or equivalent, optimized for AI integration
- Partner with ML and platform engineers to co-develop execution hooks and test data systems for generative AI use in test creation and analysis
- Instrument test frameworks to collect high-fidelity data that supports both traditional and AI-driven testing across the development lifecycle
- Integrate test execution, reporting, and dynamic test selection with CI/CD pipelines using Harness
- Build and scale tooling for fast, repeatable functional, integration, and end-to-end Android testing at every commit and release
- Develop practices for AI-driven test selection and prioritization to enhance continuous testing efficiency
- Promote best practices that reduce late-stage bug detection and increase confidence in release readiness
- Enable adaptive regression testing by incorporating AI-generated test cases into automation infrastructure
- Automate non-functional testing including performance, memory, and security assessments for Android
- Create screenshot and video comparison systems with log capture to quickly detect UI and functional regressions
- Mentor engineers and provide thought leadership in test automation and AI-native quality engineering
- Contribute to organizational playbooks and enablement programs to scale AI-powered testing strategies
Requirements
- Minimum of 8 years of software engineering experience with a focus on mobile test automation and developer tooling, including at least 2 years designing new test infrastructure
- Extensive experience with native Android automation tools such as Espresso and UI Automator, including integration with device farms
- Proven ability to design and extend test frameworks for high observability and signal fidelity
- Experience collaborating with ML/AI teams or integrating generative AI systems for test generation, triage, or analytics
- Proficiency in CI/CD platforms, particularly Harness, for building automated test pipelines and release controls
- Demonstrated technical leadership at the staff level, including mentoring engineers and shaping organization-wide testing practices
Tech Stack
Android, Espresso, UI Automator, Harness CI/CD, Generative AI, ML/AI systems, Device farms, Test automation frameworks, AI-powered testing agents
Benefits
- Comprehensive, choice-based wellness programs covering physical, emotional, and financial health
- Generous paid time off
- Healthcare coverage for employees and their families
- Resources and tools to support long-term financial security
- Mental health support and wellness resources
- Flexible and balanced work culture
- Hybrid work model with 3 days in office and 2 days remote
- Holistic benefits approach focused on overall wellbeing
Compensation
The base salary for this role varies by location and experience. In San Jose, California, the expected annual range is $176,500.00 - $262,350.00. Additional compensation may include an annual performance bonus, equity, or other incentives.
Work Arrangement
Hybrid — San Jose, California — 3 days in office for collaboration, 2 days remote or at employee's discretion, supporting a balanced work model.
Team
Cross-functional team including iOS SDET, Testing Platform Engineer, ML engineers, and platform peers
- Inclusion
- Innovation
- Collaboration
- Wellness
Additional Information
- Subsidiary: PayPal
- Travel requirement: 0%
- No fees are charged to candidates for any part of the hiring process including applications, interviews, or background checks
- PayPal will never request passwords, one-time passcodes, or verification codes during the application process
- All official communication will come from verified PayPal email domains
- Suspected fraudulent activity should be reported immediately
- For more information on identifying recruitment fraud, visit https://careers.pypl.com/contact-us
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