Application Development Engineer, Full Stack, Google Cloud

As a Software Engineer at Google, you will have the opportunity to work on critical projects that are essential to Google's needs. You will be part of the Google Cloud Consulting Professional Services team, guiding customers through their cloud journey and enabling businesses to thrive by leveraging Google's global network, web-scale data centers, and software infrastructure. Your role will involve collaborating with key strategic Google Cloud customers to support application development, provide architecture guidance, troubleshoot issues, and offer monitoring solutions. - Act as a trusted technical advisor to customers, designing and developing complex applications. - Demonstrate versatility and enthusiasm in tackling new challenges across the full stack to drive technological advancements. - Uphold the highest standards of development practices, including technical design, solution development, systems configuration, test documentation/execution, issue resolution, and writing clean, modular, and self-sustaining code. - Provide best practices recommendations, tutorials, blog articles, sample code, and technical presentations tailored to different levels of key business and technical stakeholders. - Travel up to 30% of the time depending on the region. - Bachelor's degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience in Software Engineering. - Proficiency in front-end technologies like Angular, React, TypeScript, etc., and back-end programming languages such as Java, Python, Go, or similar. - Experience in maintaining internet-facing production-grade applications and troubleshooting problems across various services and functional areas, including relational databases (e.g., PostgreSQL, Db2, etc.). - Experience developing scalable applications using Java, Python, or similar, with knowledge of data structures, algorithms, and software design. - Familiarity with different types of databases (e.g., SQL, NoSQL, Graph, etc.) and unit or automated testing tools like Junit, Selenium, Jest, etc. - Knowledge of DevOps practices, including infrastructure as code, continuous integration, and automated deployment, as well as deployment and orchestration technologies (e.g., Puppet, Chef, Salt, Ansible, Docker, Kubernetes, Mesos, OpenStack, Jenkins). - Understanding of open-source server software such as NGINX, RabbitMQ, Redis, Elasticsearch.,