Senior Software Engineer, Full Stack, Guided Support Experience

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
  
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience with front end and back end frameworks for AI based app development.
  
• Experience with prompt engineering and optimization.
  
• Experience developing accessible technologies.

About the job:

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

In this role, you will be responsible for verticalizing the Guided Support Experience in the Google Help Center. The Guided Support Experience (GSE) team is responsible for our generative conversational support solution across our consumer product portfolio such as Google Play, Pixel, and Workspace. You will work closely with our Product Manager partners and other stakeholders in a cross-functional “pod” structure, each pod focusing on customizing GSE to the needs of our Product Verticals (PVs).

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities:

• Write and test product or system development code, and review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Contribute towards improving code health, data hygiene and overall system reliability, triaging product or system issues and debugging/tracking/resolving by analyzing the sources of issues.
  
• Work closely with pod partners to analyze user behavior and adapt the GSE platform to best support different product verticals and deliver a high-quality product.
  
• Analyze every touchpoint across the self-help journey and optimize GSE to guide engagement and successful outcomes.