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 manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

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 $147,000-$211,000 + 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.

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

• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Apply data analytics algorithms and ML/LLM techniques to automate and simplify customers’ triaging process.

• Apply data analytics algorithms to identify the hotspots of the qualification test output.

• Develop code for data pipelines and related infrastructure.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience programming in Python, Go or C++.

• 2 years of experience in data analysis, with experience in SQL.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with data structures and algorithms.

• Experience building or managing distributed systems or cloud infrastructure.

• Experience in developing tools and infrastructure for data pipelines: datastore, UX (including interactive UIs), databases, etc.

• Experience in making raw data actionable and improving debuggability based on raw or structured data (via statistics or Al/ML).