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

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 ...

AZURE Cloud Engineer

Austin, TX ยท Remote

$130K - $150K/yr

Department of Veterans Affairs (VA)Location: 100% Remote - U.S. BasedSalary: $130,000-$150,000 ... Azure Storage * Azure Security * Azure Monitor * Log Analytics * Incident Response * ATO

New

AZURE Cloud Engineer

Austin, TX ยท Remote

$130K - $150K/yr

Department of Veterans Affairs (VA) Location: 100% Remote - U.S. Based Salary: $130,000-$150,000 ... Manage log retention, storage optimization, and cloud cost-management activities. * Support ...

New

Substation Engineer III

Austin, TX ยท On-site +1

$97K - $124K/yr

... battery energy storage systems, their integration into the electrical grid, underground ... This position will be remote US Travel : Occasional travel may be needed (10% or less) EPE is an ...

Substation Engineer III

Austin, TX ยท On-site +1

$97K - $124K/yr

... battery energy storage systems, their integration into the electrical grid, underground ... This position will be remote US Travel : Occasional travel may be needed (10% or less) EPE is an ...

Substation Engineer III

Austin, TX ยท On-site +1

$97K - $124K/yr

... battery energy storage systems, their integration into the electrical grid, underground ... This position will be remote US Travel : Occasional travel may be needed (10% or less) EPE is an ...

... storage environment. * Design QoS policies for deployment across the Supplier environment ... Setup reporting for performance and traffic engineering of the Supplier environment. * Execute MOPs ...

Data Platform Engineer

Austin, TX ยท On-site +1

$135K - $155K/yr

Can you design and optimize storage layers for both operational workloads and AI/ML pipelines? * Do ... Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ...

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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 Aug 19, 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 August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,888 per year, or $55.7 per hour.

AI Storage Solutions Expert

BitDeer

Austin, TX โ€ข On-site, Remote

Full-time

Posted 7 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
You own the IO layer that trains the models - and the signals we need to predict storage faults before a checkpoint stalls a $50M training run.
Bitdeer is building an AI-operated GPU cloud. 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 high-performance storage layer for AI training and inference across NeoCloud's US DCs, and you feed the AIOps substrate with the signals it needs to catch storage regressions before they page a customer.
What you'll own
  • Deploy and operate parallel/distributed storage systems: WEKA, VAST Data, Ceph, DDN/Lustre. Design storage architectures optimized for AI workload patterns - checkpoint I/O bursts, sequential dataset reads, KV cache for inference.
  • Implement multi-tenant storage isolation with per-tenant QoS, quotas, and access controls; configure and optimize GPU Direct Storage for direct GPU-to-storage data paths.
  • Deploy and manage storage networking (NFS over RDMA, NVMe-oF, high-speed storage fabrics) and Nvidia CMX for cluster-wide storage orchestration.
  • Diagnose and tune storage performance: IOPS, throughput, latency profiling with fio, IOR, mdtest; own the runbook for common failure modes.
  • Plan storage capacity aligned with GPU cluster growth and customer workload projections; manage firmware, data migration, and DR procedures.

Feed the AIOps substrate
  • Instrument storage telemetry - IO tail latency, checkpoint durations, NVMe SMART, filesystem health, RDMA counters - into the metrics/logs/traces store the platform team runs.
  • Partner with the platform team to define the storage-fault predictor: which signals, which labels (from your incidents), which false-positive tolerances.
  • Convert every novel incident into an automation: SOPs become runbook-as-code, runbook-as-code becomes an agent-executable remediation.

What success looks like in year 1
  • Observability and a baseline predictor for the top 3 storage-fault classes on our fabric.
  • Storage-incident MTTR measurably lower than at hire.
  • The Nvidia GB200-class clusters we build out ship on your storage design.

Job Requirement:
  • 5+ years in enterprise or HPC storage operations, with at least 2 years supporting AI/ML workloads
  • Hands-on deployment and operations experience with at least two of: WEKA, VAST Data, Ceph, DDN/Lustre
  • Strong understanding of AI training I/O patterns: checkpoint frequency, dataset loading, shuffle buffers
  • Experience with high-performance storage networking (NFS over RDMA, NVMe-oF)
  • Knowledge of GPU Direct Storage and RDMA-based data transfer
  • Proficiency in storage performance benchmarking and tuning (fio, IOR, mdtest)
  • Experience implementing multi-tenant storage with isolation and QoS
  • Strong Linux systems knowledge (kernel tuning, filesystem internals, block device management)
  • Instinct for turning ops toil into ML signal - you've either shipped an anomaly detector for storage/IO telemetry or you can articulate the labels and features you'd need to.
  • Runbook-as-code mindset - every SOP you write should be executable by a machine within a quarter.

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.