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Senior · 8+ years exp
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Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Google scores B on the Alion truth index.

Overview
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

The EDACloud Operations team defines processes for managing incidents to develop automation to ensure upgrades are rolled out safely and slowly. The team builds out monitoring for internal use as well as for the users to understand the state of the service, and debug when there are issues.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Participate in on-call activities and manage the systems within the domain and work with the primary responders to help in fixing system issues.
  • Troubleshoot technical issues, evaluate technical data, and develop recommendations for systems and services, respond to tickets/bugs within team-defined service-level objectives (SLOs), and contribute to systems and services through bug reports and consultation.
  • Work with customers on defining distributed systems requirements, testing procedures, and proposing solutions.
  • Set up processes for planning, improving quality, best practices, and maintaining a short response time for user issues.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Computer Science, or a related Information Technology (IT) 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.

Preferred qualifications:

  • 8 years of experience working with vendors or customers.
  • Experience with Electronic Design Automation (EDA) tools or chip design.
  • Experience in working with Go, Python or C++.
  • Experience in interacting with end users or product aptitude.

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