Job Details
Job Description
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in C++ and SQL, or 1 year of
experience with an advanced degree.:
- 2 years of experience with developing large-scale infrastructure, distributed
systems or networks, or experience with compute technologies, storage or hardware architecture.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Proficiency with large-scale logging systems, log analysis, and data
- processing tools to diagnose issues and derive insights.
ABOUT THE JOB:
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from
all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project
critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Data & Metrics Infrastructure for YouTube Ads is extremely critical for various business applications like model training, billing, reporting, experiment analysis, etc. As a team we are responsible to make sure that we enable all business requirements of various product teams while ensuring that logging and
metrics infrastructure scales and is extremely cost efficient scaling sub linearly to business. The team works with various partner teams to understand their use cases and then enables data metrics and logging infrastructure that enables higher ROI while fulfilling business needs.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as
analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the specific salary:
range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more
about benefits at Google [https://careers.google.com/benefits/].:
RESPONSIBILITIES:
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide
amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best
practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations and quality.
