Software Engineer, Payments Identity Verification

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

• Navigate technical ambiguity to architect robust abstractions, translating messy, region-specific identity requirements into unified back-end services.
• Lead the design and execution of new system capabilities, evolving our platform to support increasingly complex verification journeys.
• Design resilient integrations with an ecosystem of external identity providers, ensuring reliability and secure, silent data verification.
• Act as a strategic technical partner to downstream engineering teams (e.g., Play, Cloud, and Google Pay), guiding the integration of our infrastructure into their specific user journeys from onboarding to business generation.
• Drive system-wide improvements across the various components that make-up the Identity Verification (IDV) platform, taking ownership of critical engineering metrics like pass rates and verification duration.

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Experience working with cross-functional partners such as User Experience (UX) and Product, refining feature ideas into practical engineering tasks and driving progress.
• Experience developing accessible technologies.
• Knowledge of data structures and algorithms.