Technical Solutions Engineer, AI/ML
Job Summary
Job Description
- Bachelor's degree in STEM or equivalent
- 4+ years coding experience (Java, Python, etc.)
- 4+ years experience with Web Tech, Data/Big Data, etc.
- Troubleshooting & root cause analysis
- Collaboration & communication skills
- Experience with multi-node environments
- Kernel debugging & performance analysis
- Public cloud & infrastructure experience
- Computer networking knowledge
15 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
- 4 years of experience reading and explaining code in one of these languages: Java, Python, PHP, Go, Ruby, C#, C, or Javascript.
- 4 years of experience with two or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
Preferred qualifications:
- Experience debugging workload issues across multi-node environments.
- Experience with exploratory kernel debugging and performance analysis of containerized systems.
- Experience working with public cloud services and infrastructure.
- Experience in computer networking (e.g., TCP/IP, Routing, Load balancing, etc.).
- Knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
About the job
As a Technical Solutions Engineer, you will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. You will ensure that we have the necessary tools and processes to resolve the issue. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will help drive the success of Google Cloud by understanding and advocating for our customers issues.
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.
Responsibilities
- Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
- Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and faster diagnosis.
- Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as part of a team of engineers/consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work.
- Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
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