Senior Systems Development Engineer, Fleet Operations Engineering

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science or IT-related field, or equivalent

practical experience.

* 5 years of experience with systems automation, and with systems design and

implementation.

* 5 years of experience with technical infrastructure (e.g., deployment,

maintenance, troubleshooting), and with reliability of technical

infrastructure.

* Experience in any two of the following areas: Operating Systems, Networking,

Scripting and Automation.

PREFERRED QUALIFICATIONS:

* 5 years of experience working with vendors or customers.

* Experience designing and implementing machine learning operations practices,

such as staging telemetry data, tracking anomaly detection models, or

configuring performance monitoring dashboards.

* Experience with configuration management and automated orchestration engines

for building self-healing system remediations.

* Experience in Terraform and Google Cloud Platform (GCP), with the ability to

design robust cloud architectures.

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.

Join the Fleet Infrastructure Engineering team to build and manage

infrastructure systems. We power global operations for Alphabet by scaling

operational technology and physical security applications, including Internet of

Things (IoT) solutions across Google data centers and corporate offices. We are

evolving beyond reactive alerting toward AI-driven ecosystems. If you are

passionate about applying systems engineering at scale to solve challenges, join

us to redefine fleet operations.

The Core team builds the technical foundation behind Google’s flagship products.

We are owners and advocates for the underlying design elements, developer

platforms, product components, and infrastructure at Google. These are the

essential building blocks for excellent, safe, and coherent experiences for our

users and drive the pace of innovation for every developer. We look across

Google’s products to build central solutions, break down technical barriers and

strengthen existing systems. As the Core team, we have a mandate and a unique

opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Address complex, systemic problems in highly ambiguous environments, adapting

quickly to changing priorities with a strong sense of ownership and minimal

supervision.

* Design, deliver, and troubleshoot robust infrastructure solutions for

high-profile internal customers, leveraging deep expertise in operating

systems, networking, coding, and automation.

* Monitor fleet health, triage critical service outages, and resolve underlying

issues across various environments to maintain hardware and network

operations quality.

* Drive continuous improvement by identifying automation opportunities and

novel ways to apply AI to everyday operational challenges, establishing

centralized documentation and codelabs for these workflows.

* Foster a high-performance team culture by partnering with platform teams to

strengthen security controls, setting best practices for AI-driven

development, and providing constructive code reviews.