Cloud Engineer

• Deliver effective big data and machine learning solutions and solve complex technical customer issues.
• Act as a trusted technical advisor to Google’s customers.
• Identify new product features and feature gaps, provide guidance on existing product tests, 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.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience writing software in Python, Scala, R, or similar.
• Ability to travel up to 30% of the time.

Preferred qualifications:

• Experience working with recommendation engines, data pipelines, or distributed machine learning, and with data analytics, data visualization techniques, software, and deep learning frameworks.
• Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.
• Experience with data structures, algorithms, and software design.
• 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.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you will be the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India.

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience writing software in Python, Scala, R, or similar.
• Ability to travel up to 30% of the time.