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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA; Atlanta, GA, USA; Chicago, IL, USA; Addison, TX, USA.
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 jobAs 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.
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 .
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.
