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Cloud Technical Solutions Engineer, AI/ML (English)

Karnataka, India (On-site)

Cloud Technical Solutions Engineer, AI/ML (English)

2 Weeks ago • 4 Years + • DevOps

About the job

13 skills required for this role

Add these skills to join the top 1% applicants for this job

java

shell

html

javascript

cpp

unix

load-balancing

python

linux

dns

communication

networking

cross-functional

Job Description

The Cloud Technical Solutions Engineer, AI/ML role involves working with customers on production deployments, resolving issues, ensuring product readiness, availability, and scale. Responsibilities include troubleshooting and root cause analysis of customer-reported issues, developing diagnostic tools, and acting as a consultant and subject matter expert for internal and external stakeholders. This position requires strong problem-solving skills, experience with Linux/Unix or Windows systems, and proficiency in a general-purpose coding language. The role involves collaborating with cross-functional teams and providing 24-hour customer support, which may include non-standard work hours and weekend work. The engineer will advocate for customer needs with internal teams to improve products and drive production.

Must have:

Bachelor's degree in STEM or equivalent experience
4+ years coding experience (Java, C++, Python etc.)
Linux/Unix or Windows systems experience
Experience with virtualization and orchestration
Fluent English communication
Troubleshooting and problem-solving skills

Good to have:

Experience debugging multi-node environments
Exploratory kernel debugging and performance analysis
Public cloud services and infrastructure experience
Computer Networking knowledge (TCP/IP, Routing, Load balancing etc.)
Knowledge of basic web technologies (HTTP, HTML, DNS, TCP etc.)

Minimum qualifications:

Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
4 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
Experience with Linux/Unix or Windows systems, from the kernel to the shell, file systems, and client-server protocols.
Experience in reading/debugging code and in virtualization and orchestration frameworks.
Ability to communicate fluently in English to communicate with different customers and stakeholders.

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.), with knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

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 diagnosis.
Act as 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, including working 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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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.