About the job

As a Web Solutions Engineer, you will use your technical aptitude and design skills to analyze problems, provide elegant and scalable solutions to them, and identify and resolve dependencies. You will interact frequently and closely with our stakeholders from around the world, and across different functions, to identify pain points and devise technical solutions. You will be developing software that enables business insight or scales business solutions.In this role, you will have the opportunity to learn and grow inside Google. We need our engineers to be versatile and passionate to address new problems as we continue to push technology forward.

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.

Responsibilities

• Design and develop applications or tooling for Cloud Support.

• Write and review detailed technical design documents. Monitor and enhance performance of applications and services.

• Partner with Technical leads to build reliable and scalable features. Understand customer and agent issues and advocate for their needs with cross-functional teams.

• Participate in engineering design discussions and code reviews with the team. Manage individual tasks/features priorities, deadlines and deliverables.

• Apply AI tools effectively in own workflow and internal solution.

Minimum qualifications

• Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

• 4 years of experience in software development.

• Experience in programming with one or more of the follwoing: Java, Python, Go Lang, or TypeScript/JavaScript.

Preferred qualifications

• Experience in using test frameworks, CRMs, and Billing systems, and with machine learning, data analysis, and data science.

• Experience with unit testing, agile project development, bug and change management systems.

• Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and Map Reduce.

• Ability to manage software development projects and prioritize tasks, combined with a passion for engineering excellence.

• Ability to work across the stack: front-end, back-end, and integrations.

• Excellent verbal and written communication skills.