Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in either system design or in one programming language (Java, C++, Python, etc.).
- 6 years of experience in technical troubleshooting, and managing internal/external partners or customers.
- Experience with large-scale data processing and analysis using tools such as BigQuery or Apache Spark.
- Experience in multiple programming languages, including Java, JavaScript, and Typescript and SQL.
- Experience utilizing systems for collaborative code review, version control, continuous integration, and automated testing.
- Experience working with Protocol Buffers.
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About the job
As an Executive Web Solutions Engineer, you will lead the design, development, and scaling of systems that support the entire YouTube organization, requiring expertise in full-stack development, data visualization, and user-centric design. You will focus on building and maintaining the technical infrastructure that enables YouTube to understand and respond to user needs, driving product and service improvements. You will prioritize code quality and testing.
YouTube/Video Global Solutions is the link between Google video products and sales. Our mission is to fuel innovation that keeps YouTube and Video free and accessible to the world. We do this by translating global market needs into meaningful product solutions that drive business results for content partners and customers.
Responsibilities
- Design, build, and deploy scalable software platforms for YouTube teams, including Back-end APIs, front-end interfaces and data pipelines.
- Ensure your solutions can manage large volumes of data and user interactions, maintaining high performance and reliability.
- Ensure seamless data accessibilityfor operational reporting and data visualization by teams through meticulous technical solution design. Author and review technical documentationencompassing design, development, revisions, and code reviews across various programming languages.
- Build interactive dashboards and reports that provide actionable insights into user sentiment, feedback trends, defects and product performance.
- Explore and implement AI/ML technologies to automate feedback classification, sentiment analysis, and anomaly detection. Conduct code analysis, review, and modificationto optimize operating efficiency, adapt to new requirements, and execute testing, debugging, maintenance, and program updates.