
Organizing the world's information and making it universally accessible.
Software Engineer, Identity Verification
Benefits and perks
•Healthcare
•Flexible Hours
•Equity
•Learning Budget
Required skills
Python
JavaScript
TypeScript
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.
In this role, you will contribute to designing and building intelligent, automated identity verification workflows. You will gain experience integrating the platform with Google products and external vendors while engineering solutions to meet various international regulations. You will work with technical leads and address complex technical challenges at the heart of digital trust and safety. This is a unique opportunity to make a significant impact on Google's ability to operate safely and grow worldwide.
Responsibilities
-
Collaborate with Product Managers, Program Managers, and Technical Leads across the payments platform to translate complex requirements into elegant code.
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Write and modify code that connects the platform with a various set of clients and Google products.
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Help adapt and customize the solutions to meet a wide array of local regulatory requirements from countries around the world. Ensure the platform is both globally consistent and locally compliant, often requiring creative problem-solving to map legal requirements to technical implementations.
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Investigate and resolve complex technical issues related to identity data processing, rule engine configurations, and secure data handling. Contribute to ensure the accuracy and integrity of the verification processes.
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Contribute to the reliability and maintainability of the services by writing robust code, develop comprehensive tests, and participate in code reviews, and help to refine the engineering practices.
Minimum qualifications
-
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
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2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Preferred qualifications
-
Experience working with cross-functional partners such as UX and Product, refining feature ideas into practical engineering tasks and driving progress.
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Experience developing accessible technologies.
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Knowledge of data structures and algorithms.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Mid/L4
Mid/L4 · Accessibility Analyst
1 reports
$214,500
total per year
Base
$165,000
Stock
-
Bonus
-
$214,500
$214,500
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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