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Remote Storage Engineer Jobs (NOW HIRING)

Lightning AI

Infrastructure Engineer (Storage)

New York, NY · On-site +1

$117K - $154K/yr

This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote ... Engineering, and Platform teams to integrate storage into the broader platform * Contribute to ...

ASM Research

Systems Engineer

The Storage Engineer, Junior supports the operation of enterprise storage systems that serve virtual machines, databases, and file services in a secure government environment. This role assists ...

Planet

Senior Software Engineer, Storage Infrastructure

OR · Remote

$122K - $161K/yr

... Engineer to help evolve this platform. You'll work across the stack - from object storage and ... This is a full-time, remote position based in the United States. If located near an office, you are ...

VDURA

Sr. Storage Software Developer

Pittsburgh, PA · On-site +1

$53 - $70/hr

We are seeking a highly experienced Senior Storage Software Developer with deep expertise in C/C ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Sr. Storage Software Developer

Longmont, CO · On-site +1

$54 - $71.25/hr

We are seeking a highly experienced Senior Storage Software Developer with deep expertise in C/C ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Sr. Storage Software Developer

Pittsburgh, PA · On-site +1

$53 - $70/hr

We are seeking a highly experienced Senior Storage Software Developer with deep expertise in C/C ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Sr. Storage Software Developer

Niwot, CO · On-site +1

$54 - $71.25/hr

We are seeking a highly experienced Senior Storage Software Developer with deep expertise in C/C ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

Planet

Senior Software Engineer, Storage Infrastructure

$125K - $165K/yr

... Engineer to help evolve this platform. You'll work across the stack - from object storage and ... This is a full-time, remote position based in the United States. If located near an office, you are ...

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How much do remote storage engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for remote storage engineer in the United States is $56.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $66.35 per hour, depending on experience, location, and employer.

What is a Remote Storage Engineer?

A Remote Storage Engineer is an IT professional who specializes in designing, implementing, and managing data storage solutions for organizations while working remotely. Their responsibilities include configuring storage systems, troubleshooting storage-related issues, ensuring data security, and optimizing storage performance. They often work with technologies such as cloud storage, SAN (Storage Area Network), and NAS (Network Attached Storage). Remote Storage Engineers play a crucial role in maintaining data integrity and accessibility, especially for businesses with distributed or cloud-based infrastructure.

What are the key skills and qualifications needed to thrive as a Remote Storage Engineer, and why are they important?

To thrive as a Remote Storage Engineer, you need strong expertise in storage technologies, data management, and backup solutions, typically backed by a degree in computer science or a related field. Familiarity with systems like SAN/NAS, cloud storage platforms (e.g., AWS, Azure), and certifications such as CompTIA Storage+ or vendor-specific credentials are highly valued. Excellent problem-solving, communication, and self-management skills help you address issues efficiently while collaborating across remote teams. These skills and qualities ensure robust data availability, security, and seamless support for distributed enterprise environments.

What is the difference between Remote Storage Engineer vs Cloud Storage Administrator?

AspectRemote Storage EngineerCloud Storage Administrator
Required CredentialsIT certifications, storage-specific certifications (e.g., SNIA, CompTIA Storage+)Cloud platform certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentData centers, remote offices, or cloud environmentsCloud platforms, remote or on-premises
Employer & Industry UsageIT companies, data centers, cloud providersCloud service providers, enterprises using cloud storage
Common Search & Comparison IntentUnderstanding storage infrastructure rolesManaging and optimizing cloud storage solutions

The main difference is that Remote Storage Engineers focus on designing, implementing, and maintaining storage systems across various environments, including data centers and cloud platforms. Cloud Storage Administrators primarily manage and optimize storage within cloud platforms like AWS or Azure. Both roles require storage knowledge, but their focus and certifications differ based on the environment they work in.

What Does a Remote Storage Engineer Do?

As a remote storage engineer, you work from home to design and maintain information storage systems for clients. In this virtual position, your duties involve creating a database infrastructure that meets the needs of each client with whom you work. Part of your job involves assessing the specific needs of the client and designing appropriate solutions. You build or configure software, hardware, or cloud-computing systems, and you provide support and training for the employees who use the system. Other responsibilities include making updates, backing up data, and building and monitoring the network that connects to the data storage system.

How do Remote Storage Engineers typically collaborate with on-site IT teams to resolve storage issues?

Remote Storage Engineers frequently work closely with on-site IT teams to diagnose and resolve storage-related incidents. This collaboration often involves remote access to systems, regular video or conference calls, and utilizing ticketing systems to track progress. Strong communication skills are essential, as Remote Storage Engineers must clearly document troubleshooting steps and coordinate actions, sometimes even guiding on-site staff through physical hardware checks or replacements. This teamwork ensures efficient resolution of issues despite physical distance.
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Remote Storage Engineer jobs near you

Sr. Staff Engineer, Lustre

Data Direct Networks

San Francisco, CA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.
"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
Job Description
We are seeking a Senior Staff Engineer - LustreFS with 15+ years of experience in distributed storage, Linux kernel and large-scale HPC/AI infrastructure. This role is intended for a deeply hands-on technical leader who can independently drive architecture, debugging, reliability and performance across LustreFS subsystems including metadata, object storage, recovery, LNet and high-performance transports such as RDMA/InfiniBand/RoCE. You will be expected to mentor senior engineers, shape technical direction, improve operational resilience, and help convert tribal knowledge into scalable engineering systems. Being AI-enabled for faster triage, debugging, design exploration and knowledge capture is a strong advantage.
Key Responsibilities
  • Provide deep technical leadership across LustreFS subsystems including llite, MDS/MDT, OSS/OST, LDLM, recovery and LNet.
  • Own complex root-cause analysis for difficult customer, scale and production issues across kernel, filesystem, network and transport layers.
  • Lead design and implementation of new features, reliability improvements, scale enhancements and performance optimizations in LustreFS.
  • Drive architectural reviews for kernel-space and user-space changes with strong attention to correctness, backward compatibility and operability.
  • Define debugging and observability strategies for complex distributed failure scenarios including failover, recovery storms, lock contention and transport degradation.
  • Partner with principal engineers, support, QE, DevOps and release teams to improve product quality, test depth and release confidence.
  • Mentor senior and mid-level engineers; create structured learning paths, review standards and subsystem ownership models to build redundancy.
  • Promote use of AI-assisted workflows for issue triage, log analysis, code review assistance, knowledge capture and design acceleration with appropriate engineering guardrails.

Required Qualifications
  • 15+ years of experience in distributed systems, filesystems, Linux kernel development or storage infrastructure engineering.
  • Strong hands-on expertise in LustreFS internals and production operations, including one or more of: metadata services, object storage services, client/llite, locking, recovery or LNet.
  • Strong C systems programming skills and deep Linux debugging experience using tools such as gdb, crash, perf, ftrace, eBPF, systemtap and core analysis.
  • Strong understanding of Linux kernel concurrency, memory management, I/O paths, networking and performance tuning.
  • Experience with high-performance networking and transports such as InfiniBand, RDMA, RoCE and/or TCP at scale.
  • Proven ability to diagnose complex cross-layer issues spanning kernel, storage, networking and distributed coordination.
  • Experience leading design discussions, code reviews and subsystem-level technical decisions.
  • Excellent written and verbal communication skills with the ability to guide senior technical audiences and influence cross-functional teams.

Preferred Skills
  • Experience with large-scale AI/HPC clusters, parallel filesystems and performance-sensitive production environments.
  • Familiarity with backend storage filesystems and media such as ZFS, ldiskfs, NVMe and enterprise storage platforms.
  • Experience with upstream/open-source contribution models, patch review and long-term maintenance / backporting.
  • Experience building runbooks, failure-injection tests, automated diagnostics or observability pipelines for distributed storage.
  • Practical use of AI tools for log summarization, issue triage, code review augmentation, design exploration and knowledge-base generation.
  • Track record of growing engineering capability through mentoring, documentation and systematic knowledge transfer.

What You Will Work On
  • Complex customer escalations and deep production issues involving failover, recovery, locking, performance regression and transport instability.
  • Architecture and implementation of new LustreFS capabilities or subsystem enhancements for scale, resilience and serviceability.
  • Cross-layer debugging across llite, kernel, MDS/OSS, LNet and RDMA/InfiniBand environments.
  • Technical reviews of code changes, design proposals and release-readiness for critical fixes and long-lived branches.
  • Building AI-enabled engineering workflows that accelerate triage, debugging, code reviews, design iteration and structured knowledge capture.
  • Developing the next generation of Lustre engineers through mentorship, playbooks, design walkthroughs and repeatable debugging frameworks.

Why This Role Matters
This role is central to building durable engineering redundancy in LustreFS: expanding deep subsystem ownership, reducing concentration risk, and accelerating next-generation delivery through strong engineering fundamentals and AI-enabled execution.
Salary Range for this role: $215,000 - $265,000
DDN
Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity. Here, you'll have the opportunity to work across various areas of the company, thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results, both in their work ethic and deliverables, making strong prioritization skills essential. Additionally, we value strong communication skills in all our engineers and researchers, as they are crucial for the success of our teams and the company as a whole.
Interview Process: After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total:
  • Coding assessment: Often in a language of your choice.
  • Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role).
  • Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.
  • Meet and greet with the wider team.
  • Our goal is to finish the main process in 2-3 weeks at most.

DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
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