Application Development Engineer

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 4 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.
• 3 years of experience in one or more languages such as Java, Python, Go, or similar.
• Experience with internet facing production-grade applications.

Preferred qualifications:

• Experience with deployment and orchestration technologies (such as Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins).
• Experience with unit or automated testing tools such as JUnit and scalable networking technologies (such as Load Balancers, Firewalls) and web standards (like REST APIs, web security mechanisms).
• Experience with DevOps practices, including infrastructure as code, continuous integration and automated deployment.
• Experience in developing applications using Java, Python, or similar including data structures, algorithms and software design.
• Experience in refactoring legacy monolithic applications to microservices,APIs or serverless models.
• Understanding of open source server software (such as NGINX, RabbitMQ, Redis, Elasticsearch).

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 Application Development 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 with Product Management and Product Engineering to build and deliver 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 technical advisor to customers and design and build applications. Recommend approaches and estimated effort for application migration and modernization program.
• Maintain advanced levels of development practices (e.g., technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution) writing code, with repeatable quality and predictability.
• Manage project priorities, deadlines, and deliverables. 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, expected travel can be up to 30% depending on the region.