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.

The Developer Intelligence (Dev Intel) - Engineering Productivity Research (EPR) team is the scientific engine behind developer and agent success at Google. We apply rigorous mixed-methods research, from psychology to data science, to understand the complexities of developer and agent experience. Our mission is to transform these findings into high-leverage, data-driven metrics and insights that empower leaders to make smarter decisions, ultimately shaping our AI native future, developer tools, productivity, and culture across Google and Alphabet.

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 $174,000-$252,000 + 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

• Build or enhance infrastructure and metrics that enable our stakeholders to make effective decisions more quickly.

• Develop self-serve tools to help other teams create and manage data pipelines that generate metrics.

• Build the infrastructure that makes analytics possible at a huge scale.

• Collaborate across functional boundaries and cultivate strong relationships with leadership that help you find the right problems and ensure that the team has impact.

• Navigate through ambiguities, clarify problem areas, identify areas of impact and present the perspectives to stakeholders.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience programming in Java.

• 5 years of experience programming in SQL and Python.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Experience with data analysis and SQL pipelines.

Preferred qualifications

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

• 1 year of experience in a technical leadership role.

• Experience working on technologies like Mendel, data analytics, big data, Flume Java, etc.

• Experience with Google infrastructure.