Cloud Storage

Cloud Storage Developer Jobs

3 jobs found

Today

Data Engineer, GCS Data Science

Google New York, NY

New York, NY

Today

$106k - $151k/yr Full time Backend Developer Analytics Artificial Intelligence

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Job Description

On Google’s GCS Data Science team, this Data Engineer role focuses on turning complex business data into reliable pipelines and usable insights. You will help build scalable ETL workflows and reporting automation that support feature engineering and the development and scaling of ML and AI models.

Working onsite in New York, NY, you’ll operate in an agile environment alongside data scientists and stakeholders across the organization. The Data Science Engineering (DSet) subteam supports the broader GCS Data Science effort through new data pipelines, automation, observability, and reporting tooling for GCS initiatives.

What you’ll do

Build data pipelines, reports, best practices, and frameworks that enable analysts and other organizational stakeholders.
Apply feature engineering practices to meet data needs for ML and AI model development, including ETL pipeline development to support downstream scaling.
Ensure pipeline quality by adopting best practices for data integrity, test design, analysis, validation, and documentation.
Design and develop scalable, actionable solutions such as dashboards, automated collateral, and web applications that communicate insights.
Collaborate with stakeholders to identify feature and tooling gaps and innovate on behalf of customers.

What you’ll bring

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
At least 1 year of experience designing data pipelines (ETL) and model data.
Experience analyzing data and creating reports, including database query (for example, SQL) and visualization tools (for example, Tableau and dashboards).
Experience with one or more general-purpose programming languages, such as Python, C/C++, or Java.

Technologies

ETL, ML/AI, SQL, Tableau, dashboards
Python, C/C++, Java

About the role

The GCS Data Science team addresses challenging problems within Google Customer Solutions (GCS) for the Global Business Organization (GBO). The team’s objective is to build efficient and scalable ML models that help small and midsize businesses grow using Google solutions.

Compensation and benefits

USD 106,000 - 151,000 per year
15% bonus target
equity
benefits
Health insurance
401k match

Preferred qualifications

Experience working in a data science environment supporting feature engineering and model automation needs.
Experience with big data tools, distributed computing, and non-relational databases.
Structured problem-solving skills, including the ability to break down ambiguous problems and propose impactful data modeling designs.
Strong interest in analyzing large and complex datasets and translating them into information that supports business decisions.

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1mo ago

Senior Software Engineer, Infrastructure, Cloud Storage

Google Kirkland, WA

Kirkland, WA

1mo ago Closed

$174k - $253k/yr Full time Cloud Operations Cloud Platforms Cloud Storage

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Google offers a benefits-forward environment in Kirkland, WA where collaboration, continuous learning, and tangible impact are core to daily work. This onsite Senior Software Engineer role comes with a competitive annual compensation range of USD 174,000 to 253,000, alongside comprehensive health coverage, retirement support, and generous time off to support your growth and well being. You will contribute to cloud storage products within Google Cloud, joining teams that design scalable infrastructure used by billions of users and services worldwide.

As a Senior Software Engineer focusing on infrastructure for cloud storage, you will work on large-scale systems that power Google Cloud storage offerings. Expect opportunities to influence architecture through design reviews, contribute to robust code and documentation, and collaborate across engineers and stakeholders to deliver reliable, high-performance infrastructure.

Benefits

Health, dental, vision, life, and disability insurance
401(k) plan with company match
Paid time off: 20 days of vacation per year, accruing at 6.15 hours per pay period during the first five years
Sick time: 40 hours per year, with Seattle employees receiving up to 69 hours per year; includes 5 discretionary sick days per instance
Maternity leave (short-term disability plus baby bonding): 28–30 weeks
Baby bonding leave: 18 weeks
13 paid holidays per year

Responsibilities

Write and test product or system development code
Participate in or lead design reviews with peers and stakeholders to select among technologies
Review code from other developers and provide feedback to promote best practices in style, accuracy, testability, and efficiency
Contribute to existing documentation or educational content and update it based on product changes and user feedback
Triage product or system issues and debug, track, and resolve by analyzing hardware, network, or service operation impacts

Requirements

Bachelor’s degree or equivalent practical experience
5 years of experience with software development in C++
3 years of experience developing large-scale infrastructure or distributed systems
Experience with Generative AI Agents
Experience working in a cloud environment (Google Cloud)

Technologies

C++
Generative AI Agents
Google Cloud
Python

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1mo ago

Software Engineer, Parallel File Systems, AI/ML Storage

Google Seattle, WA

Seattle, WA

1mo ago Closed

$147k - $211k/yr Full time Backend Developer APIs Cloud Architecture

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Location: Seattle, WA onsite. Salary: USD 147,000 - 211,000 per year. Education: Bachelor's degree or equivalent practical experience. Minimum experience: 1 year. Google offers a broad benefits package designed to support you and your family as you work on AI and cloud storage innovations.

Benefits

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

About the role

As a Software Engineer on the AI/ML Storage and Parallel File Systems team, you will help shape the next generation of cloud storage designed for extreme-scale, data-intensive workloads. The role emphasizes APIs, distributed systems, and performance optimization to support large-scale AI and data workflows. The service targets throughput up to 10 TB per second and aims to deliver industry-leading performance in real time.

Responsibilities

Build and launch application programming interfaces for file systems
Design and implement distributed systems to deliver file systems at multi-petabyte scale
Develop file system technologies for data protection features like snapshots, backups, and security
Investigate bottlenecks, deliver performance improvements, and build customer-facing tools to achieve performance for specific scenarios
Implement optimizations to reduce cost

Requirements

Bachelor’s degree or equivalent practical experience
2 years of experience in programming with Golang, Java or C++
2 years of experience with developing large-scale infrastructure, distributed systems or storage systems
2 years of software development or 1 year of experience with an advanced degree in an industry setting

Technologies

Golang
Java
C++

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Cloud Storage Developer Jobs

Data Engineer, GCS Data Science

Senior Software Engineer, Infrastructure, Cloud Storage

Software Engineer, Parallel File Systems, AI/ML Storage

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