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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

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).

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