Customer Solutions Engineer, Compute
Listed on 2025-12-01
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IT/Tech
Systems Engineer, Data Engineer
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gTech’s Professional Services team takes a creative, collaborative, and customer‑centric approach to provide foundational services and forward‑looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long‑term capabilities.
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.
US base salary range for this full‑time position is $177,000–$263,000 + bonus + equity + benefits. Salary is determined by role, level, location and other factors including job‑related skills, experience, and education. Please note that the compensation details listed are base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Minimum Qualifications- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- 8 years of experience working with client‑side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
- Experience troubleshooting technical issues for internal or external partners or customers.
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an investigative role such as business intelligence, data analytics, or statistics.
- Experience working with database technologies (e.g., SQL, No
SQL). - Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
- Experience using Machine Learning and building solutions.
- Experience working with systems (e.g., Linux, Unix, Windows).
- Work with clients to understand their objectives and challenges, identify technical gaps, and surface opportunities for solution reuse or innovations.
- Design and implement solutions that meet client needs and are compliant with data and legal policies.
- Understand the nuances of clients within the industry and develop subject matter expertise in trending spaces.
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.
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