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职位Google

Software Engineering Manager, GKE and AI Infrastructure

Google

Software Engineering Manager, GKE and AI Infrastructure

Google

·

On-site

·

Full-time

·

2w ago

About the job

As a Software Engineering Manager within the Kubernetes Kernel team, you will initially lead the Kubernetes Config Connector (KCC) team and oversee the technology that ensures our high-scale customers achieve compliance and manage their infrastructure with production-grade reliability. You will define the KCC long-term goal, focusing on its role as a foundation for AI Agentic infrastructure, and accelerate resource coverage to unblock the next generation of Google Cloud users.

In this role, you will define and execute the strategy for KCC, focusing on improving core reliability (e.g., high availability/disaster recovery, safer upgrades) and addressing critical customer escalations. You will lead the team's effort to leverage LLMs and AI Agents via tools like the Open Source Software (OSS) repo-agent to automate the full resource lifecycle. This includes driving innovation in AI-powered code generation, automated code review, streamlined release processes, and intelligent support remediation to reach coverage goals. You will shape the product roadmap to evolve KCC's core infrastructure, meeting customer demands for continuous reconciliation and strict compliance. You will manage a team of Engineers, cultivating an environment of psychological safety, high execution, and continuous innovation. You will grow at the intersection of systems engineering, Infrastructure as Code (IaC), and Kubernetes. You will be creating production-grade systems that manage Google Cloud infrastructure on behalf of the user.
The US base salary range for this full-time position is $207,000-$300,000 + 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 technical goal and execution for Kubernetes Config Connector, ensuring KCC evolves to meet critical customer demands for continuous reconciliation, compliance, and day two operations.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience in distributed cloud computing including 3 years of experience in containerization, container orchestration, or operations management.

  • 3 years of experience in a technical leadership role.

  • 2 years of experience in a people management or team leadership role.

Preferred qualifications

  • Master's degree or PhD in Computer Science or a related technical field.

  • 5 years of experience in a people management or team leadership role.

  • 3 years of experience working in a complex, matrixed organization.

  • Experience with KCC or other Kubernetes-native Infrastructure as Code (IaC) solutions like crossplane.

  • Experience leading AI-driven development initiatives for IaC or cloud-native tooling.

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense