Web Solutions Engineer, Support Tooling and Automation
10 Months ago • 4 Years +
Full Stack Development
Job Description
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 help innovate and develop software-based solutions for complex business problems. You will work closely with engineering teams to improve our tools, understand customer and agent issues, and advocate for their needs with cross-functional teams like Software Engineering. You will develop an in-depth understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, so we can identify and resolve future issues quickly. You will also ingest and create data pipelines from upstream systems providing data availability and reporting for stakeholders. You will design and develop tooling for our customers and support agents.
Good To Have:
- Experience in programming/scripting languages such as Java, C, C++, Python, shell scripting, and JavaScript
- Experience in Linux/Unix, basic systems administration
- Experience with account management, ticketing and billing systems
- Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and MapReduce
- Understanding of the following Internet technologies: web-tech (HTTP, DNS, TLS, HTML), networking (routing, TCP/IP)
Must Have:
- Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development
- 4 years of experience in full-stack software development and system design
- Experience with front end languages (e.g., JavaScript or TypeScript)
- Experience with backend languages (e.g., Java, Python, or Go)
- Experience working with database technologies (e.g., SQL, NoSQL)
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development.
- 4 years of experience in full-stack software development and system design.
- Experience with front end languages (e.g., JavaScript or TypeScript).
- Experience with backend languages (e.g., Java, Python, or Go).
- Experience working with database technologies (e.g., SQL, NoSQL).
Preferred qualifications:
- Experience in programming/scripting languages such as Java, C, C++, Python, shell scripting, and JavaScript.
- Experience in Linux/Unix, basic systems administration.
- Experience with account management, ticketing and billing systems.
- Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and MapReduce.
- Understanding of the following Internet technologies: web-tech (HTTP, DNS, TLS, HTML), networking (routing, TCP/IP).
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 help innovate and develop software-based solutions for complex business problems.
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
- Work closely with engineering teams to improve our tools.
- Understand customer and agent issues and advocate for their needs with cross-functional teams like Software Engineering.
- Develop an in-depth understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis, so we can identify and resolve future issues quickly.
- Ingest and create data pipelines from upstream systems providing data availability and reporting for stakeholders.
- Design and develop tooling for our customers and support agents.
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