---
title: Software Engineer III, Infrastructure, Workspace
description: Google is hiring for the Software Engineer III, Infrastructure, Workspace role
  in Raleigh, NC. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/software-engineer-iii-infrastructure-workspace-at-google-01a0b3d8-212e-772b-93f2-850c1ac76020
date: 2026-11-15T01:26:44Z
og_description: Join Google as Software Engineer III, Infrastructure, Workspace in Raleigh, NC.
  Pays $147K–$210K per year.
og_image: https://www.foundrole.com/og/twfvw3.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | Boulder, CO |
| **Salary** | $147K/yr - $210K/yr |
| **Posted** | Oct 21, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $179,000 – $213,000 a year (median $179,000).

## Description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.  

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits  

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

### Minimum qualifications:

- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in C++, Java, Go, or Python.
- 2 years of experience with developing large-scale infrastructure, distributed systems or machine learning, or experience with compute technologies, or hardware architecture.  

### Preferred qualifications:

- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.  
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.

- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in C++, Java, Go, or Python.
- 2 years of experience with developing large-scale infrastructure, distributed systems or machine learning, or experience with compute technologies, or hardware architecture.  
## Skills

- Hardware Architecture
- Debugging
- Test Engineering
- Go
- Calendar Management
- Testability
- Python
- Visualization
- Algorithms
- Statistics
- C++
- Gmail
- Computer Science
- Data Structures
- Data Analysis
- Machine Learning
- Java
- Distributed Systems

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