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Senior Systems Development Engineer, Google Distributed Cloud

Google

Senior Systems Development Engineer, Google Distributed Cloud

Google

placeSunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more

·

On-site

·

Full-time

·

1mo ago

Compensation

$156,000 - $229,000

Benefits & Perks

Competitive salary and equity package

Team events and activities

Professional development budget

Flexible work arrangements

Parental leave

Comprehensive health, dental, and vision insurance

Equity

Learning

Flexible Hours

Parental Leave

Healthcare

Required Skills

Node.js

Python

PostgreSQL

About the job

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

Google Distributed Cloud (GDC) is a private cloud solution for public sector and regulated enterprises. It's an offering that brings advanced Google services on-premise, without ever needing a connection to the public internet. Built on an open ecosystem with Kubernetes, GDC offers flexible hardware and configurable operations. We're hiring a Senior Systems Development Engineer to focus on deploying and operating these GDC solutions for our customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $156,000-$229,000 + 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

  • Perform complex day-to-day troubleshooting and resolution of infrastructure issues (e.g., Network, Storage, Servers, OS, Kubernetes, etc.).

  • Participate in customer, partner, and internal team deployments which will require international travel.

  • Be able to personify and own the IO persona experiences defined in GDC air-gapped product.

  • Participate in the 24x7 on-call rotation to support escalations from client deployments as well as internal reference deployments.

Minimum qualifications

  • Bachelor's degree in Computer Science, IT-related field, or equivalent practical experience.

  • 5 years of experience with systems automation, systems design, and implementation.

  • 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting) and with reliability of technical infrastructure.

  • 3 years of experience with Kubernetes or a similar container orchestration platform.

  • 3 years of experience with TCP/IP networking and with diagnosing and resolving network-related issues.

  • Ability to travel internationally up to 25% of the time.

Preferred qualifications

  • Experience designing, implementing, and managing enterprise-grade storage systems including SAN, NAS, or distributed file systems.

  • Experience with physical data center operations including hardware installation, power and cooling management, and asset lifecycle management.

  • Experience managing customer relationships and virtualized environments.

  • Knowledge of hypervisors (e.g., KVM, v Sphere, Hyper-V).

  • Ability to work directly with clients to understand their technical needs.

  • Excellent communication skills and the ability to implement identity and access management (IAM) solutions, such as active directory.

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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

63,375 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 / 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