Software Engineer, Developer Intelligence Platforms

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience programming in Java, Python, Kotlin, NodeJS, Go, or any variant of C. Preferred qualifications: 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience with SQL, data pipelines, data warehousing/analysis, and metric design. Experience in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineering is seeing its biggest paradigm shift since higher-level languages. Developer Intelligence is Google's team of experts advising it on how to help developers become maximally productive, happy, and effective in this new era. Developer Intelligence Platforms delivers these insights to Google leaders via self-service platforms. Developer Intelligence Platforms engineering team seeks to empower and inform Google decision makers with productivity insights through scalable self-service platforms. The team comprises a UI surfaces workstream, an Agentic AI experiences workstream, and a Data Warehouse workstream all of whom contribute to pipeline and user experience development and maintenance as well as metric storage and visualization. We collaborate with AI measurement teams, Engineering Productivity Researchers and Data Scientists, our colleagues in Developer Intelligence. Developer Intelligence is a uniquely cross-functional organization comprising software engineering, user experience (research, design, content strategy), and data science disciplines joining forces to empower and influence decision makers with actionable insights and contextualized data and tools to improve development and product velocity for all developers. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. The US base salary range for this full-time position is $141,000-$202,000 + 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 Help enable users to find and understand our content, dig into underlying data, understand contributing factors, and annotate trends. You will help us evaluate large bodies of data that are not yet compiled into well-researched metrics. 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). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Help build multiple tools or prototypes in a data-rich environment, ideally serving data analysis or data exploration use cases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.