1

Junior Infrastructure Engineer Jobs in Virginia (NOW HIRING)

Junior Cloud Engineer Are you passionate about cloud technologies and supporting mission-critical ... Leverage Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a ...

Junior Cloud Engineer Are you passionate about cloud technologies and supporting mission-critical ... Leverage Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a ...

next page

Showing results 1-20

Junior Infrastructure Engineer information

See Virginia salary details

$33.2K

$71.2K

$108.6K

How much do junior infrastructure engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior infrastructure engineer in Virginia is $71,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the junior infrastructure engineer position, and why are they important?

To thrive as a Junior Infrastructure Engineer, you generally need foundational knowledge of networking, system administration, operating systems, and a relevant degree in computer science or a related field. Familiarity with tools such as Linux/Windows servers, cloud platforms (like AWS or Azure), scripting languages, and industry certifications such as CompTIA Network+ or Microsoft Certified: Azure Fundamentals is typically expected. Attention to detail, strong problem-solving skills, and effective teamwork and communication abilities are crucial soft skills in this role. These skills and qualities are essential as they enable you to maintain reliable IT infrastructure, resolve issues efficiently, and collaborate with senior engineers and cross-functional teams in fast-paced environments.

What is a junior infrastructure engineer?

A Junior Infrastructure Engineer is an entry-level IT professional responsible for supporting and maintaining an organization's IT infrastructure, including networks, servers, and cloud services. They assist in troubleshooting, system deployments, and performance monitoring to ensure smooth operations. This role often involves working with senior engineers to implement upgrades, security measures, and optimizations. Strong problem-solving skills, basic networking knowledge, and familiarity with operating systems are essential.

What are some typical projects or tasks a junior infrastructure engineer handles on a daily basis?

As a Junior Infrastructure Engineer, your daily tasks often involve monitoring system performance, assisting with server maintenance, troubleshooting network or hardware issues, and supporting software updates or deployments. You may also help document infrastructure changes, manage user permissions, and participate in upgrade projects alongside more senior engineers. Collaboration with IT support, developers, and other technical teams is common, providing you with broad exposure to different aspects of the organization's technology environment. These experiences help build your technical skill set and prepare you for more advanced responsibilities as you gain experience.

What are the most commonly searched types of Infrastructure Engineer jobs in Virginia? The most popular types of Infrastructure Engineer jobs in Virginia are:
What job categories do people searching Junior Infrastructure Engineer jobs in Virginia look for? The top searched job categories for Junior Infrastructure Engineer jobs in Virginia are:
What cities in Virginia are hiring for Junior Infrastructure Engineer jobs? Cities in Virginia with the most Junior Infrastructure Engineer job openings:
Infographic showing various Junior Infrastructure Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,184 per year, or $34.2 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Ashburn, VA โ€ข Remote

$100K - $150K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

AI 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: AI Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000โ€“$150,000 Annually
Experience: 6+ years
Sponsorship:โ€ฏU.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 Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners โ€” product, design, engineering, operations, and business stakeholders โ€” to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor\'s or master\'s degree in computer science, Computer Engineering, or related field.
  • Six or more years of experience in performance engineering, ML systems, or HPC.
  • Strong proficiency in Python and C++.
  • Hands-on experience optimizing deep learning workloads on modern GPUs.
  • Deep understanding of distributed training and inference techniques.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.
  • Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
  • Excellent measurement, debugging, and analytical reasoning skills.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience optimizing LLM inference at production scale.
  • Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
  • Familiarity with custom kernel authoring in Triton or CUTLASS.
  • Experience with FinOps for AI workloads.
  • Publications or talks on AI systems performance.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume toโ€ฏboon@bvteck.comโ€ฏor contact us at (908) 650-6699. 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.