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Remote Infrastructure information

See Arizona salary details

$14

$26

$49

How much do remote infrastructure jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote infrastructure in Arizona is $26.11, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $28.22 per hour, depending on experience, location, and employer.

What is remote infrastructure?

Remote infrastructure refers to the combination of hardware, software, networks, and services that allow IT systems to be managed and accessed from remote locations. This setup enables organizations to operate, monitor, and maintain servers, storage, databases, and network resources without needing on-site presence. Remote infrastructure is essential for supporting remote work, cloud computing, distributed teams, and business continuity. It often involves the use of cloud platforms, virtual private networks (VPNs), monitoring tools, and automation to ensure secure and efficient operations.

What is the difference between Remote Infrastructure vs Remote Network Engineer?

AspectRemote InfrastructureRemote Network Engineer
Required CredentialsCertifications like CompTIA Network+, Cisco CCNA, AWS Certified Solutions ArchitectCertifications like Cisco CCNA, CCNP, CompTIA Network+
Work EnvironmentDesigning, implementing, and managing overall IT infrastructure including servers, storage, and cloud servicesConfiguring, troubleshooting, and maintaining network systems, routers, switches, and firewalls
Industry UsageUsed across cloud providers, enterprise IT, and data centersPrimarily in networking, cybersecurity, and telecom sectors

Remote Infrastructure professionals focus on the broader IT environment, including servers, cloud services, and storage, while Remote Network Engineers specialize in network hardware, configurations, and connectivity. Both roles require similar certifications and often work in overlapping industries, but their core responsibilities differ significantly.

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

To thrive as a Remote Infrastructure Engineer, you need expertise in network management, cloud computing, and server administration, often backed by a degree in computer science or IT and relevant certifications like AWS, Azure, or Cisco. Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible), virtualization platforms, and monitoring systems is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for success in remote and collaborative environments. These skills ensure reliable, secure, and scalable infrastructure management, supporting business continuity and efficient operations.

What are some common challenges faced by professionals working in remote infrastructure roles, and how can they be addressed?

Professionals in remote infrastructure roles often encounter challenges such as coordinating across time zones, troubleshooting issues without physical access to hardware, and maintaining clear communication with distributed teams. To address these, it's important to leverage robust remote monitoring and management tools, establish standardized procedures for incident response, and use collaboration platforms to stay connected with colleagues. Regular check-ins and thorough documentation also help ensure that everyone stays aligned and issues are resolved efficiently.
What are the most commonly searched types of Infrastructure jobs in Arizona? The most popular types of Infrastructure jobs in Arizona are:
What are popular job titles related to Remote Infrastructure jobs in Arizona? For Remote Infrastructure jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Infrastructure jobs in Arizona look for? The top searched job categories for Remote Infrastructure jobs in Arizona are:
What cities in Arizona are hiring for Remote Infrastructure jobs? Cities in Arizona with the most Remote Infrastructure job openings:
Remote Infrastructure jobs near you
Infographic showing various Remote Infrastructure job openings in Arizona as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $54,300 per year, or $26.1 per hour.

ML Infrastructure Engineer

Bright Vision Technologies

Chandler, AZ • Remote

$100K - $150K/yr

Full-time

Posted 6 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled ML Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
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 (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary - $100K - $150K
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099. All our roles are W2.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an ML 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.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

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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