Cloud Engineer, Application Modernization

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
• 3 years of experience in one or more languages such as Java, Python, Go, or similar.
  
• 3 years of experience in managing internal or client-facing projects to completion, troubleshooting clients technical issues, and working with engineering teams, sales, services, and customers.
  
• Experience with internet facing production-grade applications.
  

Preferred qualifications:

• Experience refactoring legacy monolithic applications to microservices, APIs, or serverless models.
  
• Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment.
  
• Experience with Devops tools such as Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins.
  
• Experience in open source server software such as RabbitMQ, Redis, Elasticsearch.
  
• Experience with unit or automated testing tools such as Junit, and scalable networking technologies such as Load Balancers, Firewalls, and web standards.
  

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 Application Modernization Engineer, you will work with customers to assess existing Enterprise applications in anticipation of a cloud migration by providing application design expertise, assessing and classifying applications and application platforms, and proposing rewrite approaches to facilitate deployment to cloud native products like Google Kubernetes Engine. You will work with customers on legacy application re-design and implementation including application scaling, reliability, and ongoing operations such as application and feature rollouts, monitoring, and more. 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 most strategic Cloud customers. Alongside the team, you will support customer application assessment and implementation of Google Cloud products through: architecture guidance, best practices, application migration, implementation, troubleshooting, monitoring, and 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.

• Be a trusted technical advisor to customers and design and build complex applications.
  
• Maintain highest levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification, and resolution) writing clean, modular and self-sustaining code, with repeatable quality and predictability.
  
• Work with customers to design technical architectures, migration approaches, and application optimizations.
  
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  
• Travel as needed up to 30% of the time depending on the region.