DevOps Engineer, Level 4

Snap Inc.

Actively hiring Posted today Verified listing

Santa Monica, CA Posted today $157,000–$235,000 / year

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99+ other roles within 25 mi Near Santa Monica, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $196k

$103k most similar roles pay here $249k

This role pays more than 79% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $196k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 39 roles with salary data.

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At a glance

TL;DR

As a DevOps Engineer at Level 4 on the Spectacles Software Engineering Team, you will design and develop build systems and tooling for custom operating systems used by next-generation wearable computing devices. Your day-to-day responsibilities include maintaining CI/CD pipelines using Jenkins, GitHub Actions, or similar tools, optimizing local development environments, and building automation infrastructure for testing critical hardware and software changes. You’ll collaborate closely with global engineering teams to deploy builds on new hardware platforms while integrating AI-native workflows into the build process to enhance developer efficiency. The role requires strong scripting skills in shell and Python, proficiency with Git, Docker, and experience with CI/CD configurations. Preferred qualifications include familiarity with Google Cloud services, AOSP builds, Yocto, and automated embedded device testing. This position offers a unique opportunity to work on cutting-edge technology that will redefine how we interact with the world through wearable devices.

Skills

Python Shell Git Jenkins GitHub TeamCity Docker CI/CD Google Cloud AWS Gradle Bazel CMake GNU Make SonarQube JFROG Artifactory AOSP Yocto AI tools

What you'll do

Develop and maintain build, integration, and automation systems for a custom operating system.
Build automation and reporting infrastructure for testing hardware and software changes.
Implement AI/LLM tools within CI, build, and development workflows to boost developer velocity.
Work closely with global software teams to set up builds on new experimental hardware platforms.
Optimize local development environments and continuous integration solutions for engineering teams.

What we're looking for

Strong scripting skills in shell and Python.
Expertise in Git, including advanced features like LFS and hooks.
Experience with CI/CD tools such as Jenkins, GitHub Actions, or TeamCity.
Proficiency in Docker for container administration and deployment.
Background in Unix/Linux environments and build system automation.

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