Senior Software Engineer, Frontend/Fullstack, Connect Sales AI Platform, Google Ads
About the role
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming
languages.
- 3 years of experience with front-end and user interface development.
- 3 years of experience testing, maintaining, or launching software product.
- 1 year of experience with software design and architecture.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
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.
With your technical expertise you will manage project priorities, deadlines, and
deliverables. You will design, develop, test, deploy, maintain, and enhance
software solutions.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine
learning and Generative AI models like Gemini to power a multi-billion dollar
global business.
Our work directly impacts billions of users by protecting users from harm,
improving ad quality, and optimizing campaigns for advertiser
return-on-investment. We foster a culture of deep collaboration, partnering
closely with teams like Google Research and DeepMind to solve complex
challenges. Join us to work on state-of-the-art AI, take on problems at an
unparalleled scale, and build the next generation of advertising
technology.Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Write and test 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.
Responsibilities
- Write and test product or system development code.
- Participate in or lead design reviews to select technologies.
- Review code and provide feedback on quality and best practices.
- Maintain documentation and educational content.
- Triage, debug, and resolve product or system issues.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 5 years of software development experience.
- 3 years of front-end and user interface development experience.
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
- Preferred: Master's degree or PhD in Computer Science or a related technical field.
- Preferred: 5 years of experience with data structures and algorithms.
- Preferred: 1 year of experience in a technical leadership role.
Benefits
- 15% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.