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Senior Software Engineer, Emerging On-prem AI Infrastructure, Security

Google

Senior Software Engineer, Emerging On-prem AI Infrastructure, Security

Google

·

On-site

·

Full-time

·

1w ago

  • Work closely with Security teams inside of Google and Partner, and Customer teams working with us.

  • Develop OS and hardware security features for our product.

  • Design security solutions within the scope of the broader area.

  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages.

  • 3 years of experience building software for data privacy or security (e.g., identity and access management).

  • 3 years of experience testing, maintaining, or launching software products.

  • Must possess an active Top Secret/SCI security clearance and the willingness to undergo a polygraph.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

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