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Ceph Storage Jobs in Texas (NOW HIRING)

AI Storage Solutions Expert

Austin, TX · On-site +1

$180K - $320K/yr

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 ...

OpenShift Engineer

Dallas, TX · On-site

$52.50 - $71.75/hr

Manage and maintain Ceph storage for reliable data operations. * Integrate and maintain CI/CD pipelines using GitLab and related DevOps tools. * Collaborate with application and infrastructure teams ...

Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS) and Linux storage kernel development. * GPU & AI Infrastructure: Proficient with NVIDIA GPUs, CUDA ...

Lead Infrastructure Engineer - Storage

Houston, TX · On-site

$102K - $134K/yr

Hands-on experience with at least one major storage ecosystem (e.g., NetApp, Dell EMC PowerStore/Isilon, Pure, Hitachi, Ceph, IBM, or cloud storage services). * Solid Linux fundamentals, including ...

Oversee platform support for distributed storage technologies including Ceph and other high-throughput, high-availability storage systems. * Ensure the platform and data layers interoperate ...

Design and implement storage solutions, including Ceph/OpenShift Data Foundation. Design and configure networking components including protocols, firewalls, load balancers, ingress, routing, and ...

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Ceph Storage information

What is Ceph Storage?

Ceph Storage is an open-source, distributed storage system designed to provide excellent performance, reliability, and scalability. It supports object, block, and file storage in a unified platform, making it suitable for cloud infrastructure and enterprise environments. Ceph automatically manages data replication and recovery, helping to ensure high availability and fault tolerance. The system can run on commodity hardware, reducing costs and simplifying expansion as storage needs grow.

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

To thrive as a Ceph Storage Engineer, you need a strong background in Linux systems administration, networking, and distributed storage concepts, often supported by a relevant degree or certifications like Red Hat Certified Engineer (RHCE). Familiarity with tools such as Ceph, Ansible, monitoring systems like Prometheus, and scripting languages is typically required. Critical soft skills include problem-solving, attention to detail, and effective communication for troubleshooting and collaborating with IT teams. These abilities are vital to ensuring high availability, scalability, and reliability of storage solutions in enterprise environments.

What are some common challenges faced by professionals working in Ceph Storage administration, and how can they be addressed?

Professionals managing Ceph Storage environments often encounter challenges such as maintaining cluster health, balancing performance and scalability, and troubleshooting hardware or network failures. These issues can be addressed by regularly monitoring cluster metrics, using Ceph's built-in tools for diagnosis, and proactively planning for capacity expansion. Collaborating closely with system administrators and network engineers is also crucial to ensure optimal integration and quick resolution of issues. Staying updated with Ceph community best practices and documentation helps administrators adapt to evolving technologies and maintain robust, high-performing storage solutions.

What is the difference between Ceph Storage vs Storage Engineer?

AspectCeph StorageStorage Engineer
CredentialsKnowledge of distributed storage, Linux, and storage protocolsCertifications like Cisco, CompTIA Storage+, or vendor-specific certifications
Work EnvironmentData centers, cloud environments, large-scale storage deploymentsData centers, enterprise IT teams, cloud providers
Industry UsageOpen-source storage solutions, cloud infrastructureDesign, implementation, and management of storage systems
Search/Comparison IntentTechnical understanding of storage solutionsCareer options, job roles, and skills

Ceph Storage is an open-source, distributed storage platform used to build scalable storage clusters, often in cloud and data center environments. Storage Engineers design, deploy, and maintain storage systems, including Ceph, focusing on performance and reliability. While Ceph Storage refers to the technology itself, Storage Engineers are professionals who work with Ceph and other storage solutions to meet organizational needs.

What cities in Texas are hiring for Ceph Storage jobs?

Cities in Texas with the most Ceph Storage job openings:

Infographic showing various Ceph Storage job openings in Texas as of August 2026, with employment types broken down into 75% Full Time, 13% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.

AI Storage Solutions Expert

BitDeer

Austin, TX • On-site, Remote

$180K - $320K/yr

Full-time

Posted 19 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.