Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++, Java, Python, Kotlin or Go. 5 years of experience testing, and launching software products. Experience in working with advertising platforms. Experience with data analytics. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience working in C++. Experience in system design. 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. Google Ads empowers advertisers to reach global audiences and helps creators keep content accessible by providing essential business streams. Within this, our App Campaigns team helps developers seamlessly promote their apps across the largest Google properties, including Search, YouTube, and Google Play. This rapidly growing space tackles unique challenges using advanced machine learning and massive global infrastructure. As a valued part of the App Ads Privacy Team, you will build the next generation of identity resolution and attribution systems. We are adapting to major industry shifts by designing privacy focused infrastructure that powers accurate measurement and boosts app performance. You will help bridge the gap between user trust and data utility, ensuring advertisers can optimize their return on investment while strictly respecting user privacy boundaries and global regulations. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Partner with Product Managers and external stakeholders to translate complex measurement and performance gaps into technical solutions that recover signal loss and improve campaign performance. Develop and scale privacy-preserving measurement features that ensure compliance with global regulations and platform changes while maintaining data utility for modeling. Lead technical alignments across product and infrastructure teams to ensure that high-fidelity measurement signals are integrated into advanced bidding and reporting systems. Drive the long-term health and efficiency of high-traffic data pipelines by systematically identifying and resolving monitoring issues and establishing operational best practices. Provide technical guidance and mentorship to engineers, ensuring the team’s designs are scalable and forward-looking.