Technical Solutions Engineer, Compute, High Touch Support, Google Cloud
About the Job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
US: $150000 - $218000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work within a team of engineers/consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard hours/shifts, and may include weekends as needed.
- Manage the customer’s problem through effective diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on Google Cloud Platform products.
- Act as a consultant and subject matter expert for Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
- Work closely with Product and Engineering teams to improve the product, and interact with Site Reliability Engineering teams to drive high-quality production. Understand customer issues and advocate their needs with cross-functional teams.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 9 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
- 9 years of experience with computer networking and web technologies (HTTP, HTML, DNS, etc.).
- Experience managing Linux/Unix or Windows systems at a system administrator level.
- Experience with one or more core programming or scripting languages (e.g., C, C++, C#, Java, Python, JavaScript, PowerShell, Bash/Shell, Perl, Visual Basic).
Preferred qualifications:
- Experience with any of the following solutions: system virtualization, on-premise or hybrid cloud computing.
- Experience working with distributed systems.
- Experience with cloud computing (i.e., certifications, internships, coursework, etc.) and debugging complex workload issues across large-scale, multi-node environments.
- Familiarity with common solutions, design patterns, or best practices.
Additional Information
This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.- 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Summary
Troubleshoot customer issues, improve product support, and collaborate with engineering teams.
Job title
Technical Solutions Engineer, Compute, High Touch Support, Google Cloud
Experience level
9+ years
Minimum experience
9+ years exp
Industry
cloud computing
Location requirements
Seattle, WA or Austin, TX; hybrid remote work allowed.
Salary
$150k–$218k
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Seattle, WA, USA
Austin, TX, USA