Senior Staff Software Engineer, Data Engineering, Cloud AI

• Define the technical roadmap and goal for the Gemini Enterprise metrics and analytics ecosystem, aligning with broader Cloud AI product goals.
• Architect scalable batch and streaming pipelines, resolving complex analytics ambiguities and mitigating infrastructure roadblocks before they impact delivery.
• Partner with cross-functional leaders in Data Science, Product Management, and Engineering to identify future metrics requirements and align project timelines.
• Mentor and grow the team, providing guiding feedback and creating opportunities for engineers to stretch into challenging technical responsibilities.
• Ensure system health and enforce Service Level Agreements/Service Level Objective (SLAs/SLOs) for critical production datasets, engineering best practices like robust testing, privacy compliance, and data governance.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in languages such as Python, C++, Java, or Go.
• 5 years of experience with design and architecture; and testing/launching software products.
• 3 years of experience with software design and architecture.
• Experience building, debugging, or supporting large-scale data pipelines and data processing systems.

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.
• Experience leading engineering teams, mentoring talent, and architecting solutions for complex data challenges.
• Experience driving cross-functional collaboration and delivering strategic technical recommendations to executive leadership.
• Experience building large-scale analytics platforms and data warehousing solutions using distributed pipeline frameworks.
  

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in languages such as Python, C++, Java, or Go.
• 5 years of experience with design and architecture; and testing/launching software products.
• 3 years of experience with software design and architecture.
• Experience building, debugging, or supporting large-scale data pipelines and data processing systems.