Senior Software Engineer, Full Stack, Google Ads

Google
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Java
JavaScript
Google AdWords
Artificial Intelligence
Android
iOS
Big Data
C++
Data Structures
Distributed Systems
Design of User Interfaces
Push Technology
Information Retrieval
Machine Learning
Natural Language Processing
Software Architecture
Systems Architecture
TypeScript
Data Storage Technologies
Backend
Information Technology
Search Engines
Codebase
Machine Learning Operations
Front End Software Development

Job description

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.

Our team has a decade-long track record of successfully bringing ML ideas from theory to practice in the world of online ads. We have made it much easier for small and medium-sized content creators to grow their web businesses in various interesting ways, automate A/B experiments and applying Gemini to deeply understand their site and generate additional content for them to monetize.

We are a full-stack team and we own everything from scaled AI pipelines to end-user UIs seen by billions of users.

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.

Responsibilities

  • Develop a deep understanding of the app ecosystem: how apps are developed, how app developers make money, and what the future holds with thousands of new vibe-coded apps being launched every day.
  • Investigate innovative technical solutions to these challenges, especially bringing Google's AI out of the lab and into real apps with billions in annual business at stake. This work can involve anything from big data pipelines to meticulous pixel-level analysis of apps, and comprehensive thinking from back-end to front-end to make everything work smoothly together.
  • Design, build, roll out, and monitor systems that implement these solutions.
  • Work with a great engineering team alongside partners from UX, Product, Sales and more, to keep Google AdMob as a trusted partner for many existing and future apps.

Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience.

  • 5 years of experience with full stack development, across back-end such as Java, C++, Android, iOS codebases, and front-end experience including JavaScript or TypeScript.
  • 3 years of experience testing, maintaining, or launching software products.
  • 3 years of experience with software design and architecture.
  • Experience in Machine Learning.

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 in Big Data.

About the company

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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