Software Engineer, Data Center Infrastructure Management

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, and disability insurance
• 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 per year (statutory, where applicable); 5 days per event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28–30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with full stack development, across back-end such as Python, Java or Kotlin.
• Experience establishing and implementing data governance frameworks, policies, and standards.
• Experience designing and implementing data management strategies and solutions for large-scale datasets.
• Experience building and deploying SQL data pipelines.

• Master’s degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience with building machine learning models, data pipelines, and feature engineering.
• Experience with Google Cloud Platform or other similar cloud technologies.
• Experience developing accessible technologies.

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.

As a Software Engineer, you will join our team and focus on the data infrastructure supporting our business efforts. You will be responsible for the design, development, and expanding of data pipelines and tooling. Your work will directly contribute to identifying and surfacing key customer insights from product data to help drive business outcomes. You will use your experience with data systems, and work cross‑functionally with Engineering, UX, Product Management, Data Analysts, and Go‑to‑Market teams.

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 $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.

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Develop and manage robust data pipelines to ingest and process datasets (including product data, marketplace…