Senior Staff Software Engineer, Cloud Learning Services

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 7 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience with design and architecture, and testing/launching software products.
• 3 years of experience with Learning Management Systems (LMS), Learning Experience Platforms (LXP), and Content Management Systems (CMS) used in the academic or industry training space.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 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.
• 3 years of experience with with LLMs, FineTuning, Prompt Engineering, and Model Evaluations.
• 3 years of experience with LTI and related SSO patterns.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

As a Senior Staff Software Engineer, you will have strategic impact on the direction and deliverables of the Cloud Learning Services (CLS) Engineering team. You will focus on defining the architecture of a scalable learning platform and building tools and infrastructure to upskill cloud learners anywhere and anytime in the world. You'll also participate in shaping the future of CLS AI and Tech Infrastructure which will be the cornerstone in a number of applications in CLS. You will be a leader, driving the architecture, design, and implementation of large-scale, highly distributed systems that power our cloud platform. You'll partner with cross-functional teams to solve complex challenges and deliver innovative solutions that make a real impact on our customers and the industry.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $237,000-$337,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Deliver strategic impact and own outcomes for the goal, architecture and implementation of the CLS Infrastructure and GenAI, ensuring scalability, reliability, and user-friendliness.
  
• Design intuitive systems and features to create more effective and efficient learning experience for users of all skill levels leveraging GenAI.
  
• Work on ambiguous, open-ended technical challenges related to managing large ambiguous problems and distilling the path forward.
  
• Bring industry trends and technologies, and transform learning through the use of cutting edge technologies.
  
• Collaborate with both technical and non technical stakeholders understanding differing points of view.