Top 423 Storage engineer Jobs in Bellevue Wa

Infrastructure Engineer (Storage)
Lightning AI —Seattle, WA
- $180,000 - $200,000 a year
- 5 years
- System design
- Senior level
- Paid parental leave
- Paid holidays
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Staff Software Engineer - Infrastructure Storage
Lambda —Bellevue, WA
- $314,000 - $465,000 a year
- Full-time
- Hybrid work
- Office
- Analysis skills
- Mentoring
- Health insurance
- Dental insurance
8d
Senior Software Engineer - Infrastructure Storage
Lambda —Bellevue, WA
- $266,000 - $395,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
- Health insurance
- Dental insurance
9d
Systems Engineer III - Storage
Fred Hutchinson Cancer Center —Seattle, WA
- $115,170 - $182,021 a year
- Weekends as needed
- Computer science
- Microsoft Excel
- Azure
- Paid parental leave
- Paid holidays
IT Systems Engineer
TerraPower LLC. —Bellevue, WA
- $117,922 - $176,833 a year
- 8 hour shift
- 6 years
- Customer service
- Bachelor of Science
- Paid holidays
- Disability insurance
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Production Engineer (University Grad)
Meta —Bellevue, WA
- $122,000 - $143,000 a year
- Computer science
- Computer Science
- Java
Staff Infrastructure Reliability Engineer - Database & Storage
Rocket Companies —Seattle, WA
- $180,100 - $278,700 a year
- Full-time
- Hybrid work
- 7 years
- System design
- Mentoring
- Health insurance
- Dental insurance
Infrastructure Engineer
The AES Group —Seattle, WA
- Remote
- Azure
- Computer Science
- System design
- Dental insurance
- Vision insurance
Quick Apply
Site Reliability Engineer (SRE) - Hybrid Cloud Storage
Qumulo —Seattle, WA
- $140,000 - $210,000 a year
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- Mid-level
- Commuter assistance
- Health savings account
Quick Apply
3d
Product Quality Engineer
Meta —Bellevue, WA
- $144,000 - $204,000 a year
- 6 years
- Assembly
- Scripting
7d
Software Engineer, Storage
DoorDash USA —Seattle, WA
- $130,600 - $192,000 a year
- Full-time
- Hybrid work
- System design
- Java
- Military encouraged
- Paid parental leave
- Parental leave
Quick Apply
10d
Software Development Engineer, S3 - Simple Storage Service
Amazon Development Center U.S., Inc. —Seattle, WA
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
Infrastructure Support Engineer
Nscale —Seattle, WA
- $100,000 - $140,000 a year
- On call
- Remote
- Mid-level
- Analysis skills
- Leadership
Quick Apply
Senior Specialist Field Engineer - Storage
CoreWeave —Bellevue, WA
- $165,000 - $220,000 a year
- Computer science
- 7 years
- Computer Science
- Paid parental leave
- Health savings account
Quick Apply
4d
Software Development Engineer II, AWS Serverless Storage
Amazon Web Services, Inc. —Redmond, WA
- Full-time
- Computer science
- Computer Science
- System design
1d
Associate Cloud Systems Engineer
InTWO —Bellevue, WA
- Full-time
- Hybrid work
- No experience needed
- Research
- Office
Devops Engineer
9Logic Technologies —Redmond, WA
- Email
- Computer Science
- Bachelor of Science
- Bachelor's degree
Transmission System Manager, AWS Energy Team
Amazon Data Services, Inc. —Seattle, WA
- $92,400 - $160,000 a year
- Full-time
- 3 years
- Analysis skills
- Senior level
- AD&D insurance
- Health insurance
3d
Design Engineer
Amphenol CIT —Kent, WA
- $100,000 - $125,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- 3 years
- Paid jury duty
- Health savings account
Quick Apply
Software Data Operations Engineer
MAQ Software —Redmond, WA
- $85,000 - $120,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance

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Infrastructure Engineer (Storage)

Lightning AI
Seattle, WA

Quick Apply

Job Details

$180,000 - $200,000 a year

Benefits

Paid parental leave
Paid holidays
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance

Qualifications

Linux support
Resource planning methods
IT system monitoring
Scalable systems
Programming languages
Production systems
Computer hardware
Hardware support
Systems engineering
Hardware management
Storage management (system administration)
Capacity planning
Distributed computing
System tuning
Hardware diagnostics
Linux administration
Server hardware support
System performance monitoring

Full Job Description

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

What We're Looking For

Lightning AI is seeking a Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You'll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We're flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
Troubleshoot complex storage and data path issues across hardware and software layers
Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
Develop Python-based tools and workflows to reduce manual operational overhead
Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

Manage and operate Linux-based systems in production, including bare-metal environments
Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
Support capacity planning, utilization tracking, and forecasting for storage systems
Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
Contribute to design discussions around new infrastructure deployments and scaling strategies
Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

5+ years of experience in infrastructure engineering, systems engineering, or related roles
Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
Strong Linux systems experience in production environments
Proficiency in Python or similar scripting/programming languages for automation
Experience working with bare-metal infrastructure and hardware-oriented systems
Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
Experience with storage networking protocols (e.g., NFS or similar)
Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

Experience with VAST storage systems in production environments
Experience operating S3-compatible object storage at scale
Data center operations experience, including working with physical hardware
Familiarity with AI/ML or HPC workloads and their storage requirements
Background in high-performance or low-latency distributed systems
Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success. Benefits may vary by location, team, and role.

Benefits include:

Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
Generous paid time off, plus holidays
Paid parental leave
Professional development support
Wellness and work-from-home stipends
Flexible work environment

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Quick Apply

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storage engineer jobs in bellevue wa