Software Engineer, Google Payments, Growth
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Minimum qualifications:
- Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
- 2 years of experience in software engineering with programming in Java, C++, Go, or Python
- 2 years of experience designing, building, and operating scalable back-end distributed systems, microservices architectures, or high-throughput APIs
Preferred qualifications:
- Experience with event-motivated architectures, pub/sub messaging queues, and real-time stream processing pipelines.
- Experience with distributed relational databases (e.g., Spanner, SQL), schema lifecycle management, transaction isolation, and idempotency patterns.
- Familiarity with large-scale experimentation platforms, counterfactual evaluation, and collaborating with Data Scientists to measure incremental user behavior.
- Domain experience in Consumer Payments, loyalty/reward platforms, promotional voucher systems, or large-scale growth/conversion funnel optimization.
- Demonstrated interest and practical experience in utilizing modern AI-powered development tools to enhance software engineering workflows.
About the job
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.As a Software Engineer on the Consumer Payments Growth team in Singapore, you will participate in the design, development, and operation of distributed backend service, platform, and application capabilities that drive user engagement across Google's global consumer payments ecosystem. You will work on the engineering workstreams for global growth initiatives, from real-time decisioning pipelines and financial rewards settlement to stateful quest engines and low-latency signal aggregation and build features on Payment surfaces to enable growth constructs. You will work closely with local and global cross-functional teams (e.g., Product Manager (PM), User Experience (UX), Data Science, Risk/Security, and engineering teams across Singapore and the US) to build resilient, highly scalable production systems.Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.
Responsibilities
- Design, implementation, and deployment of scalable back-end services, platform components, and Application Programming Interfaces (APIs) in Java/C++ supporting real-time event streaming and growth campaigns.
- Build high-performance communications infrastructure that delivers personalized, contextual in-app messages and lifecycle notifications across mobile, web, and checkout surfaces.
- Architect resilient, idempotent financial settlement workflows and digital voucher vaulting systems with strict transactional consistency and anti-abuse controls.
- Design low-latency feature stores and telemetry pipelines to support high-velocity A/B testing, counterfactual logging, and causal attribution in close partnership with data science; Implement stateful milestone quest engines and gamified reward mechanics that drive sustainable user engagement and positive unit economics.
- Leverage modern Artificial Intelligence (AI)-assisted development tools and best practices to accelerate team-wide development velocity, test coverage, and code maintainability.
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