ZipRecruiter

Log In

2

Remote Network Engineer Night Shift Jobs in Arizona

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

QCi

PIC Test Engineer- Tempe

Arizona, LA · On-site +1

... network analyzers, lightwave component analyzers, interferometry, and related equipment ... Support efforts related to automated measurement, remote instrument control, and data-driven test ...

CPS, LLC

Senior Systems Engineer (OOBM)

Sierra Vista, AZ · Remote

$93K - $127K/yr

S. Army Network Enterprise Technology Command (NETCOM), Assistant Chief of Staff (ACofS), G-3/5. ... Remote Desktop Services (RDS) solutions on the Army's portion of the Department of Defense ...

Circle

Staff Software Engineer

Phoenix, AZ · On-site +1

$195K - $257K/yr

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Circle

Senior Software Engineer

Phoenix, AZ · On-site +1

$152K - $205K/yr

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

previous pagenext page

Showing results 21-40

All JobsNetwork Engineer JobsRemote Network Engineer Night Shift JobsRemote Network Engineer Night Shift Jobs in Arizona

Remote Network Engineer Night Shift information

See Arizona salary details

$28.9K

$101.6K

$147.2K

How much do remote network engineer night shift jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote network engineer night shift in Arizona is $101,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $124,400.00 per year, depending on experience, location, and employer.

What are some unique challenges of working as a remote network engineer during the night shift?

Working as a Network Engineer on the night shift often involves handling urgent troubleshooting tasks and resolving incidents when on-site support or other teams may be limited. You may need to work independently, relying on documentation and remote diagnostics to maintain network uptime. Communication and prompt escalation are essential, as you'll sometimes coordinate with team members in different time zones to ensure smooth handoffs and critical updates. Embracing these challenges can help develop your technical expertise and demonstrate your ability to manage complex issues autonomously.

What is a remote network engineer night shift?

A Remote Network Engineer Night Shift job involves managing, monitoring, and troubleshooting network infrastructure during overnight hours. Responsibilities include ensuring network stability, responding to incidents, and performing maintenance tasks to minimize downtime. This role is typically suited for global companies needing 24/7 network support or businesses with critical overnight operations. Strong networking skills, experience with troubleshooting, and familiarity with remote collaboration tools are essential.

What are the key skills and qualifications needed to thrive as a remote network engineer night shift, and why are they important?

To excel as a Remote Network Engineer Night Shift, you need a strong background in network administration, troubleshooting, and security protocols, typically validated by a bachelor's degree in information technology or relevant certifications such as CCNA or CompTIA Network+. Familiarity with monitoring tools, remote access systems, firewalls, and enterprise networking hardware is crucial. Excellent problem-solving abilities, attention to detail, and effective communication skills help you address issues efficiently and work collaboratively with diverse teams. These competencies ensure reliable network performance, rapid incident response, and maintain seamless operations during off-peak hours.

What are popular job titles related to Remote Network Engineer Night Shift jobs in Arizona?

For Remote Network Engineer Night Shift jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Network Engineer Night Shift jobs in Arizona look for?

The top searched job categories for Remote Network Engineer Night Shift jobs in Arizona are:

What cities in Arizona are hiring for Remote Network Engineer Night Shift jobs?

Cities in Arizona with the most Remote Network Engineer Night Shift job openings:

Remote Network Engineer Night Shift jobs near you

ML Infrastructure Engineer

Bright Vision Technologies

Phoenix, AZ • On-site, Remote

$150K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply