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

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Collaborate with the Scheduling and Storage engineering teams to ensure topology-aware placement and efficient data movement across the fabric. * Define and enforce operational standards for bare ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Experience with Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL, and Logic Apps

MO3-613-Senior Azure Cloud Engineer 11694-1

Austin, TX · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... HANDS-ON EXPERIENCE WITH AZURE API MANAGEMENT, STORAGE ACCOUNTS, ACR, AKS, CONTAINER APPS, FUNCTION ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that ...

Inside Sales Engineer (Remote)

Austin, TX · On-site +1

$59K - $74K/yr

As an Inside Sales Engineer, you will receive on the job training with our Field and Sales ... and competitive storage offerings in the SAN product space. * Acts as technical expert and ...

Showing results 41-60

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 11, 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 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, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,888 per year, or $55.7 per hour.

SRE Monitoring Platform Software Engineer (Entry Level) (Remote)

Austin, TX • Remote

$105K - $155K/yr

Full-time

Posted 17 days ago


Job description

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 

Bitdeer is building an AI-operated GPU cloud a global fleet of self-built and OEM-rented data centers running the world's most valuable compute, run by a platform that observes, protects, and operates the fleet. The SRE Platform team builds the monitoring and automation substrate that every other squad storage, network, GPU, K8S, and L1 operators depends on. Their signals become the system you help build.

As an entry-level Software Engineer on the SRE / Monitoring Platform team, you contribute to the NeoCloud SRE platform the multi-region system that observes, protects, and operates a GPU rental fleet across self-built and OEM-rented data centers. You join a bounded context led by a senior engineer, take well-scoped components from design to production code that ships through GitOps + the CICD release pipeline, follows the Plugin Framework conventions, meets declared SLOs, and stays drift-free.

This is a build + learn role. You write code, write tests, and operate what you build under the guidance of a senior engineer. You participate in on-call as a shadow before taking primary. Within 12 months, you should be delivering components independently within your assigned area and growing toward owning a sub-context.

Key Responsibilities

    Where you'll contribute (guided by a senior engineer)

    • Collection + Storage help build collection-agent, metrics-store / logs-store / traces-store / profiles-store, enrichment-service, collection-monitor. Write ingestion, query, and storage-path code.
    • Alert + Correlation + SLO contribute to alert-engine-framework, alert-correlation, slo-framework; implement and tune default alert rules.
    • Topology + Cluster-Health contribute to topology-service, cluster-health-rollup, OSS-SRE-tool collection plugins for K8s / Slurm / Ray / Volcano / Kueue / KubeRay.
    • Remediation + Workflow + Jobs help build remediation-actuator, orchestration / workflow components, inspection probes, job-scheduler.
    • Observability instrumentation instrument services with metrics, logs, and traces via OpenTelemetry; build dashboards; write runbooks an on-call can follow.
    • Test discipline write unit / integration / contract tests for everything you ship; participate in chaos and soak tests led by senior engineers.

    Why this is a great first role

    • Greenfield with a well-defined vision. The Plugin Framework, GitOps pipeline, and SLO framework are decided; you build components inside them with a clear blueprint not from a blank page.
    • You learn the full observability stack at production scale ingest, query, storage by building it, not just using it.
    • Mentorship-heavy. You work directly with senior and principal engineers who own the architecture; their expertise becomes your growth path.

Job Requirements

    • 0-2 years of software engineering experience (new graduates with strong projects or internships welcome).
    • Solid fundamentals in one programming language Go (preferred), Python, Java, or Rust. You can write clean, tested, readable code and explain your design choices.
    • CS fundamentals data structures, algorithms, concurrency, basic networking (TCP / HTTP), and operating-system concepts (processes, threads, I/O). You can reason about correctness and performance.
    • Distributed systems basics you understand the ideas behind idempotency, retries, back-pressure, caching, and eventual consistency, even if you haven't operated them at scale yet. Eagerness to go deep.
    • Monitoring / observability exposure some hands-on with Prometheus, Grafana, Loki, or similar; can write a basic PromQL query and instrument a service. Eagerness to learn the ingest, query, and storage path of a real observability stack.
    • Familiarity with Linux and the shell; comfort reading system logs and using standard debugging tools.
    • Kubernetes basics understand Pods, Services, Deployments; have run something on K8s (a project, lab, or internship).
    • Git + CI basics branching, pull requests, and have used a CI pipeline (GitHub Actions, GitLab CI, or similar).
    • Test discipline you write unit and integration tests as a habit, not an afterthought.
    • Communication clear written and verbal English; can write a good PR description and ask good questions.
    • Curiosity and a learning mindset the most important qualifier. You're excited to learn GPU / AI infrastructure, AIOps, distributed systems, and observability at production scale.

Nice-to-Haves

    • Internship or project in monitoring / observability, telemetry pipelines, or platform / SRE tooling.
    • Exposure to GPU / AI-infra DCGM, InfiniBand / RoCE, Kubernetes GPU Operator, Slurm / Ray. Interest counts more than depth.
    • Exposure to AIOps / ML-adjacent tooling (anomaly detection, alert correlation).
    • Contributions to open-source observability or cloud-native projects.

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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.