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Remote Storage Engineer Jobs in Austin, TX (NOW HIRING)

AI Storage Solutions Expert

Austin, TX · On-site +1

$180K - $320K/yr

Storage is where AI workloads either fly or fall over: a slow parallel read can starve a 1,000-GPU job; a stalled checkpoint can waste a full training epoch. In this role you deploy and operate the ...

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Remote Storage Engineer information

See Austin, TX salary details

$10

$55

$82

How much do remote storage engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote storage engineer in Austin, TX is $55.72, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $65.77 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 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.

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.

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.

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 are popular job titles related to Remote Storage Engineer jobs in Austin, TX?

For Remote Storage Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Storage Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Storage Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Storage Engineer jobs?

Cities near Austin, TX with the most Remote Storage Engineer job openings:

Infographic showing various Remote Storage Engineer job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 80% Full Time, 9% Part Time, 7% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,888 per year, or $55.7 per hour.

Cloud Storage Integration Engineer (Storage / Image / Registry)

Austin, TX • On-site, Remote

$145K - $260K/yr

Full-time

Posted 11 days ago


Job description

About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Overview
GPU training and inference at 10,000+ GPU, multi-region scale depend on high-throughput, low-latency storage that can sustain massive parallel I/O. We are looking for an engineer who deeply understands distributed file systems and can integrate distributed / parallel storage systems into our GPU cloud - covering performance, multi-tenancy, and reliability - while also owning the image / driver / registry pipeline on the node-delivery critical path.
Key Responsibilities
  • Design and integrate distributed / parallel file systems (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS) into the GPU cloud, optimized for AI training / inference I/O patterns.
  • Own end-to-end distributed-storage integration: provisioning, mounting, multi-tenant isolation, quota, and lifecycle within the platform / control plane.
  • Tune storage throughput and latency for large-scale parallel access (dataset loading, checkpointing); benchmark across GPU SKUs and workloads.
  • Architect multi-region storage: data locality, replication / consistency, durability (failure domains), and cross-region access.
  • Own golden images, templates, GPU drivers / CUDA, and the container / image registry, including versioned release and multi-region distribution. (Secondary scope.)
  • Build monitoring, capacity planning, and runbooks; eliminate single points of failure.
  • Partner with Compute (delivery), Network (storage fabric / RDMA), and Control Plane (provisioning / quota) teams.

Job Requirement:
  • 3+ years (Senior 6+) in storage engineering or platform infrastructure, with hands-on distributed / parallel file system experience.
  • Strong understanding of distributed file system internals - data / metadata separation, replication, consistency models, POSIX vs object semantics.
  • Proven experience integrating and operating distributed storage in production (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS, MinIO).
  • Performance tuning for high-throughput / parallel I/O; familiarity with NVMe, RDMA / RoCE storage networking, and caching is a strong plus.
  • Strong Linux systems depth and automation skills (Python / Go, CI / CD).
  • HPC / AI storage or multi-region storage experience a strong plus.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.