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Weekend Remote Storage Engineer Jobs in Arizona (NOW HIRING)

Qualus

Senior Engineer - Relay Settings

Phoenix, AZ · On-site +1

$103K - $142K/yr

The firm partners with utilities, commercial, industrial, data center, and government clients, and renewable and energy storage developers, offering comprehensive solutions through boutique and ...

Ameresco

Project Development Engineer

Phoenix, AZ · On-site +1

This is a remote position joining a largely remote team with home office based in the Phoenix, AZ ... Lead technical development of solar PV, battery energy storage, microgrid, and EV charging projects ...

GFT.

Senior Site/Civil Engineer

Phoenix, AZ · On-site +1

$125K - $160K/yr

... storage facilities. We are looking for Senior Site/Civil Engineer to join our team in Charlotte, NC, Chicago, IL, Pittsburgh, PA, Roanoke, VA, St. Louis, MO or Marlton, NJ This can be a remote ...

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All JobsStorage Engineer JobsWeekend Remote Storage Engineer JobsWeekend Remote Storage Engineer Jobs in Arizona

Weekend Remote Storage Engineer information

What is the difference between Weekend Remote Storage Engineer vs Weekend Remote Data Backup Specialist?

AspectWeekend Remote Storage EngineerWeekend Remote Data Backup Specialist
CredentialsIT certifications (e.g., CompTIA Storage+), relevant experienceData management certifications, backup and recovery training
Work EnvironmentRemote, technical support for storage systemsRemote, focus on data backup and recovery processes
Industry UsageIT, cloud services, data centersIT, data management, cloud storage
Search IntentStorage system maintenance, troubleshootingData backup, disaster recovery

The Weekend Remote Storage Engineer primarily manages and maintains storage systems, ensuring data availability and performance. In contrast, the Weekend Remote Data Backup Specialist focuses on backing up data and restoring it after failures. Both roles require technical certifications and are often found in similar industries, but their core responsibilities differ in system management versus data protection.

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

To thrive as a Weekend Remote Storage Engineer, you need a solid background in IT infrastructure, storage technologies (such as SAN, NAS, and cloud storage), and experience with troubleshooting and maintenance, typically backed by relevant certifications like CompTIA Storage+ or vendor-specific credentials. Familiarity with storage management tools (e.g., NetApp, Dell EMC, HPE), remote monitoring systems, and incident ticketing platforms is essential. Strong problem-solving skills, attention to detail, and effective communication enable you to resolve issues efficiently and collaborate with distributed teams. These capabilities are crucial for ensuring storage systems' reliability, data integrity, and seamless support during off-hours.

What are the typical responsibilities and challenges faced by a Weekend Remote Storage Engineer?

As a Weekend Remote Storage Engineer, your primary responsibilities include monitoring storage systems, performing routine maintenance, and resolving incidents or outages that occur outside regular business hours. You'll often work independently but will coordinate with on-call teams or escalate critical issues as needed. A key challenge is quickly diagnosing and resolving problems with limited direct supervision, requiring strong troubleshooting skills and familiarity with remote management tools. This role also offers the opportunity to gain experience with various storage technologies and can serve as a stepping stone to more advanced infrastructure or cloud engineering positions.

What are Weekend Remote Storage Engineers?

Weekend Remote Storage Engineers are IT professionals responsible for managing and maintaining data storage systems during weekends, typically working remotely. Their duties include monitoring storage infrastructure, troubleshooting issues, performing backups, and ensuring data integrity and availability outside standard business hours. This role is crucial for organizations that require 24/7 data access and support, especially to address any urgent storage-related problems that may arise during weekends when regular staff may not be available. Weekend Remote Storage Engineers often work with cloud storage solutions, SAN/NAS systems, and enterprise backup technologies.
What are popular job titles related to Weekend Remote Storage Engineer jobs in Arizona? For Weekend Remote Storage Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Storage Engineer jobs in Arizona look for? The top searched job categories for Weekend Remote Storage Engineer jobs in Arizona are:
What cities in Arizona are hiring for Weekend Remote Storage Engineer jobs? Cities in Arizona with the most Weekend Remote Storage Engineer job openings:
Weekend Remote Storage Engineer jobs near you
Infographic showing various Weekend Remote Storage Engineer job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

ML Infrastructure Engineer

Bright Vision Technologies

Scottsdale, AZ • On-site, Remote

$100K - $150K/yr

Full-time

Posted 8 days ago

Job description

ML Infrastructure Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Infrastructure Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. 
Key Responsibilities 
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. 
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. 
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. 
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. 
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. 
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. 
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. 
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. 
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. 
  • Partner with research and applied ML teams to plan capacity for upcoming training runs. 
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure. 
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. 
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. 
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science or a related field. 
  • Six or more years of experience in infrastructure, platform, or HPC engineering. 
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure. 
  • Strong proficiency in Python and at least one systems language such as Go or C++. 
  • Deep understanding of distributed training, accelerator architectures, and collective communication. 
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. 
  • Strong understanding of Linux internals, networking, and high-performance storage. 
  • Experience with at least one major cloud provider’s ML infrastructure offerings. 
  • Strong software engineering practices including testing, CI/CD, and code review. 
  • Excellent communication and cross-functional collaboration skills. 
Preferred Qualifications 
  • Experience operating InfiniBand or RDMA networking at scale. 
  • Contributions to open-source ML infrastructure projects. 
  • Familiarity with custom orchestrators or research-grade training stacks. 
  • Exposure to frontier model training operations. 
  • Experience with FinOps for AI workloads. 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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