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Staff Software Engineer, Full Stack, Google Cloud Business Platform
Google
Sunnyvale, USA
Senior · 8+ years experience
Onsite
USD 207000-300000 / year
Discovered 1 weeks ago
golanghtml-cssjavajavascriptpythontypescript
Key Skills for This Role
golanghtml-cssjavajavascriptpythontypescript
Full Job Posting
Responsibilities
- Lead the technical goal for next-gen enterprise customer identities, partner identities, and monetizer account hierarchies.
- Build a highly scalable, low-latency platform with rock-solid SLAs to support millions of customers and massive data workloads.
- Act as the technical bridge across the Google Cloud ecosystem, leading cross-team architecture for end-to-end "lead to cash" business flows.
- Design and productionize Gemini-powered Master Data Management to drive data intelligence and business growth.
- Partner with cross-functional leaders to translate ambiguous requirements into durable abstractions. Author design docs, uphold privacy standards, and mentor engineers.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 3 years of experience with software design and architecture.
- Experience integrating generative AI tools or LLM interfaces into workflows.
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 architecting B2B customer identity, entity resolution, and commercial hierarchies, or leading large-scale identity platforms (e.g., Cloud, Ads, Payments, Workspace)
- Experience applying GenAI/ML to entity matching and workflow automation within strict audit and data-privacy constraints (e.g., SOX, GDPR).
About Google
Technology10,001+Founded 1998
Technology company specializing in search, advertising, cloud computing, and AI
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