About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science or equivalent practical experience.

* 6 years of experience building machine learning solutions and working with

technical customers.

* Experience coding in one or more general purpose languages (e.g., Python,

Java, Go, C or C++) including data structures, algorithms, and software

design.

* Ability to travel up to 20% of the time.

PREFERRED QUALIFICATIONS:

* Experience working with recommendation engines, data pipelines, or

distributed machine learning. Experience with data analytics, data

visualization techniques and software, and deep learning frameworks.

* Experience in agentic workflow or Large Language Model (LLM)-based solutions.

* Experience in software development, professional services, solution

engineering, technical consulting. Expertise in architecting and rolling out

new technology and solution initiatives.

* Experience with core data science techniques.

* Knowledge of data warehousing concepts, including data warehouse technical

architectures, infrastructure components, ETL/ELT and reporting/analytic

tools and environments.

* Knowledge of cloud computing, including virtualization, hosted services,

multi-tenant cloud infrastructures, storage systems, and content delivery

networks.

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.

As a Cloud Engineer, you will play a key role in ensuring that strategic

customers have the best experience moving to the Google Cloud machine learning

(ML) suite of products. You will design and implement machine learning solutions

for customer use cases, leveraging core Google products. You will work with

customers to identify opportunities to transform their business with machine

learning, and will travel to customer sites to deploy solutions and deliver

workshops designed to educate and empower customers to realize the full

potential of Google Cloud. You will have access to Google’s technology to

monitor application performance, debug and troubleshoot product code, and

address customer and partner needs.

In this role, you will

lead the timely
execution of adopting the Google Cloud Platform solutions to the customer’s
requirements.
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.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Work with customer technical leads, client executives, and partners to scope,
manage and deliver successful implementations of cloud solutions becoming a
trusted advisor to decision makers throughout the engagement.
* Interact with sales, partners, and customer technical stakeholders to manage
project scope, priorities, deliverables, risks/issues, and timelines for
successful client outcomes.
* Deliver effective big data and machine learning solutions and solve complex
technical customer challenges.
* Identify new product features and feature gaps, provide guidance on existing
product challenges, and collaborate with product managers and engineers to
influence the roadmap of Google Cloud Platform.
* Deliver best practices recommendations, tutorials, blog articles, and
technical presentations adapting to different levels of key business and
technical stakeholders.

Which skills does this role require?

PythonJavaGoC++Large Language ModelsSolution EngineeringData VisualizationBig DataDebuggingTroubleshootingCustomer EngagementProduct RoadmapStrategic PlanningEnterprise SolutionsDigital TransformationGCPLLMsProduct Strategy

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