Skill
Google Cloud Storage
Cloud Computing and DevOps
Google Cloud Storage is an object storage service that allows users to store and retrieve any amount of unstructured data, such as files, images, backups, and datasets, with high durability and availability. It offers different storage classes (Standard, Nearline, Coldline, Archive) to balance cost and access frequency based on how often data is used. Developers and data engineers use it as a scalable backend for websites, applications, data lakes, and machine learning pipelines.
Google Cloud Storage in the job market
Last checked October 28, 2026
- Open roles
- 4
- Employers
- 2
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
of these roles
Open roles requiring Google Cloud Storage (4)
Site Reliability Engineer
Levi Strauss & Co.
Full-time
A Site Reliability Engineer will ensure data and AI platforms serving Levi Strauss's global retail operations remain available, performant, and secure on Google Cloud Platform and supporting infrastructure. This role suits engineers with production SRE experience who want to grow their reliability craft while collaborating with data and AI teams in a multi-cloud environment.
Listed on Levi Strauss & Co.’s careers site · Apply there ↗
Senior Staff Machine Learning Engineer, GenAI Platform
Remote - United States · $292,500 – $409,500
Reddit seeks a senior technical leader to architect and oversee a large-scale generative AI platform that other teams will build upon, covering everything from LLM APIs and infrastructure to RAG systems and agent workflows. This role suits someone who has spent a decade building and operating ML platforms in production, can translate emerging AI capabilities into scalable systems, and thrives on defining technical strategy at organizational scale.
Listed on Reddit’s careers site · Apply there ↗
Staff Machine Learning Systems Engineer
Full-time · Remote - United States · $230,000 – $322,000
Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.
Listed on Reddit’s careers site · Apply there ↗
Senior Machine Learning Systems Engineer
Remote - United States · $216,700 – $303,400
Reddit seeks a senior engineer to design and build the infrastructure platforms that enable the company's machine learning teams to train, optimize, and deploy recommendation and content discovery models at scale. This role suits experienced ML infrastructure engineers who enjoy solving complex systems problems in distributed computing environments and collaborating closely with model development teams.
Listed on Reddit’s careers site · Apply there ↗
Asked for alongside Google Cloud Storage
Measured from the 4 open roles that name Google Cloud Storage — not from a curated list.
- Kubernetes4 roles100.0%
- Python4 roles100.0%
- Terraform4 roles100.0%
Roles that use Google Cloud Storage
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.