Staff Software Engineer, Vertex Core Infra, Cloud AI

• Lead, design and implement business critical Infra for Vertex AI products. Solve complex backend system problems to address bottlenecks for system scalability and reliability, adapting the system to rapid business growth.
• Drive implementation to make Cloud AI products meet security and compliance requirements in order to unblock customers in certain industries (e.g., financial industry, healthcare).
• Work closely with other AI initiatives within Google, including Gemini serving, Partner MaaS, Agents.
  
• Build Vertex AI into the full lifecycle of customer's machine learning workflows by improving interoperability within multiple Vertex AI products and with other GCP/non-GCP services (e.g., Kaggle, HuggingFace, TFHub).
• Learn and apply emerging AI infrastructure patterns (e.g., model lifecycle automation) to build a foundation for Vertex AI.

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, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with Kubernetes, C++, and Go programming.
• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.

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 with distributed system design of infrastructure software.
• Experience building or operating large-scale services on Google Cloud Platform (GCP), specifically leveraging technologies like Spanner, IAM, OnePlatform, GKE, or Compute Engine, and familiar with Compliance requirements such as CMEK and Wipeout.
• Track record of solving ambiguous infrastructure problems, such as system performance bottlenecks or multi-region availability.
• Motivated Tech Lead (TL) who is passionate about building reliable, scalable foundation infrastructures that powers many AI products.

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
• Experience with Kubernetes, C++, and Go programming.
• Experience working with Apps Framework, Distributed Systems, Spanner, Google Cloud Platform, One Platform, and Compliance.