Job Information
Google Senior Software Engineer, Discover Metrics Platform, Search in Mountain View, California
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development and with data structures/algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience 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 in a related technical field.
1 year of experience in a technical leadership role.
Experience with the Search or Discover Infra full-stack (PIPS, SR, GWS, Muppet, Laelaps, Footprints, Kansas, Logs, etc.).
Experience in production of large scale distributed systems.
Experience with Search Eval, Mendel, Rasta, etc.
Experience with experimental design.
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.
Discover is the Home of Google Search, with the mission of empowering the user to effortlessly explore their passions through reliable and relatable curated content. You can find it via Google’s Search App or Android’s “-1” screen (the screen to the left of the Default Home Screen). Discover is the key priority and growth focus in Search PA.
In this role, you will have an opportunity to steer the fast growing Discover product towards the direction of long term user value, with urgency and excellence. Google's Eval team is positioned for an out-sized impact on the entire Discover team.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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/) .
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).
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.
Contribute to the LE metrics pillar of the Eval Platform, improve the end-to-end (e2e) experimentation journey and tooling, including simplifying LE setup, faster evaluation and decision making, better simulation metrics in RUFE, automated launch clean up.
Responsible for infrastructure stack management and optimization, automation and infrastructure of a service, monitoring of infrastructural components within the large scale systems, whole-stack understanding, system design, and sampling optimization.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.