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트렌딩 기업

트렌딩 기업

채용

채용Google

Senior Staff Software Engineer, AI/ML, IAM

Google

Senior Staff Software Engineer, AI/ML, IAM

Google

·

On-site

·

Full-time

·

2w ago

About the job

The Google Cloud Platform is at the forefront of the cloud computing industry, and the Identity and Access Management (IAM) team is a cornerstone of its success. The rise of AI agents introduces new paradigms and tests to traditional IAM. AI agents operate accessing various resources and tools, shifting the focus from who has access to what can this agent do and what is it doing?. The potential impact and blast radius of agents can be obscured across multiple systems and policies, making risk assessment difficult. Furthermore, the proliferation of non-human identities and the velocity of agent actions amplify potential risks, while static policies struggle to govern dynamic agent behaviors.

In this role, you will set the technical goal for IAM as we develop security controls for agents. You will oversee the multiple types of access management policies and extend their functionality to build guardrails for first-party/second-party/third-party AI agents. You will ramp up the IAM code base working closely with a team in Seattle, build features and products that will delight our external customers as well as Google Cloud Platform (GCP) services. You will write code while demonstrating thought leadership around building access management policy features.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

  • Lead the end-to-end design and implementation of large-scale GCP authorization systems using AI/ML tools.

  • Partner with product managers and engineering leads to define long-term goal and execute complex technical projects in a fast-paced environment.

  • Build and operate hyper-reliable, high-performance infrastructure to ensure intuitive and consistently accurate access control.

  • Provide leadership across the full development lifecycle, from requirement definition and design to integration, launch, and support.

  • Foster collaborative environment while actively mentoring and developing team members.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

  • 5 years of experience with design and architecture; and testing/launching software products.

  • 3 years of experience with generative AI agents.

Preferred qualifications

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

  • 7 years of experience in C++ or Java .

  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.

  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

  • Familiarity with identity, authentication or security.

  • Familiarity with IAM concepts and systems.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

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

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense