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Remote Critical Infrastructure Engineer Jobs (NOW HIRING)

NEXTHINK Infrastructure Engineer

Charlotte, NC · Remote

$105K - $137K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... infrastructure engineering projects and processes aligned with organizational policies and ...

NEXTHINK Infrastructure Engineer

Atlanta, GA · Remote

$103K - $135K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... infrastructure engineering projects and processes aligned with organizational policies and ...

NEXTHINK Infrastructure Engineer

Raleigh, NC · Remote

$104K - $137K/yr

Develop and maintain remote actions and automation flows to enable proactive remediation ... infrastructure engineering projects and processes aligned with organizational policies and ...

Remote (CST/PST Preferred) About the Role Our client is undergoing a platform migration to OpenStack and is looking for an experienced Cloud Infrastructure Engineer to help define the standards for ...

Infrastructure Engineer

New York, NY · On-site +1

$117K - $154K/yr

We're a remote-first (with a NYC base) Series A startup of 20+ employees that believe in the power ... About the role We're looking for am infrastructure engineer to join our small but growing platform ...

Infrastructure Engineer (Storage)

New York, NY · On-site +1

$117K - $154K/yr

This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote ... Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate ...

Infrastructure Engineer

Greensboro, NC · On-site +1

$71K - $87K/yr

... Remote Employment: Flexible/Hybrid Job Number: 04103 Department: Information Technology Opening ... The Infrastructure Engineer performs technical, skilled work configuring, installing, operating ...

Lead Infrastructure Engineer

Deerfield, IL · On-site +1

$109K - $143K/yr

Job is remote - will need to visit data centers on occasion. The Lead Infrastructure Engineer plays a critical role in designing, implementing, and managing the backbone of FBIN's IT infrastructure. ...

Senior Cloud & Infrastructure Engineer

$111K - $151K/yr

Patch and resolve critical and high-severity vulnerabilities in Python, C#, and Node.js codebases ... Manage device security, enrollment, and lifecycle including remote wipe capabilities and MDM ...

Infrastructure Engineer

$181K - $226K/yr

Collaborate with other engineering teams to build cross functional infrastructure improvements ... Because we're an early-stage and fully-remote company, we're looking for a strongly motivated ...

Senior Infrastructure Engineer

New York, NY · On-site +1

$170K - $220K/yr

Remote - Remote - Based In ET+2 / -3, NY Preferred Remote Full-time Compensation: $170K - $220K Our ... They are currently seeking a Senior Infrastructure Engineer to design and build an internal ...

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Remote Critical Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do remote critical infrastructure engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote critical infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Critical Infrastructure EngineerRemote Network Security Engineer
Required CredentialsBachelor's in Engineering, certifications like CISSP, CISABachelor's in IT or Cybersecurity, CISSP, CompTIA Security+
Work EnvironmentDesigning, maintaining critical infrastructure systems remotelyMonitoring, securing networks remotely
Employer & Industry UsageUtilities, transportation, energy sectorsFinancial, healthcare, tech industries
Common Search & Comparison IntentUnderstanding roles in infrastructure securityComparing cybersecurity roles in networks

The Remote Critical Infrastructure Engineer focuses on designing and maintaining essential systems like power grids and transportation networks remotely, ensuring their resilience. In contrast, the Remote Network Security Engineer specializes in protecting organizational networks from cyber threats remotely. Both roles require cybersecurity certifications and involve remote work, but they serve different industry needs and technical focuses.

More about Remote Critical Infrastructure Engineer jobs
What cities are hiring for Remote Critical Infrastructure Engineer jobs? Cities with the most Remote Critical Infrastructure Engineer job openings:
What are the most commonly searched types of Critical Infrastructure Engineer jobs? The most popular types of Critical Infrastructure Engineer jobs are:
What states have the most Remote Critical Infrastructure Engineer jobs? States with the most job openings for Remote Critical Infrastructure Engineer jobs include:
Infographic showing various Remote Critical Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Cumming, GA • 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 AI 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.AI Infrastructure EngineerJob Title: AI 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 Range : $100k to $150k per annnum
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
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/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
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.
No new H1B sponsorship is available for this role.
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 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 jaya@bvteck.com or contact us at (908) 505-3545. 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.