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Infrastructure Engineer Jobs in Chantilly, VA (NOW HIRING)

Prescient Edge

Infrastructure Engineer Level 4

Washington, DC · On-site

$114K - $150K/yr

Job Title Infrastructure Engineer Level 4 Location Washington, DC 20032 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ...

BlackSky

Senior Infrastructure Engineer

Herndon, VA · On-site +1

$111K - $151K/yr

Senior Infrastructure Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite ...

BlackSky

Senior Infrastructure Engineer

Herndon, VA · On-site +1

$111K - $151K/yr

Senior Infrastructure Engineer About Us: BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite ...

kgs

Hyperconverged Infrastructure Engineer

Washington, DC · Remote

$121K - $159K/yr

Eagle Harbor Solutions, LLC a Koniag Government Services company, is seeking an experienced Hyperconverged Infrastructure Engineer with a TS/SCI security clearance to support EHS and our government ...

Prescient Edge

Infrastructure Engineer Level 1

Washington, DC · On-site

$114K - $150K/yr

Job Title Infrastructure Engineer Level 1 Location Washington, DC 20032 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Bachelor's Degree ...

Surescripts

Senior Infrastructure Engineer

Arlington, VA · On-site

$124K - $168K/yr

Job Summary The Senior Infrastructure Engineer will ensure the optimal implementation of Surescripts' technology infrastructure. This includes designing, documentation, developing, installing ...

Prescient Edge

Infrastructure Engineer Level 2

Washington, DC · On-site

$114K - $150K/yr

Job Title Infrastructure Engineer Level 2 Location Washington, DC 20032 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Bachelor's Degree ...

kgs

Hyperconverged Infrastructure Engineer

Washington, DC · Remote

$121K - $159K/yr

Eagle Harbor Solutions, LLC a Koniag Government Services company, is seeking an experienced Hyperconverged Infrastructure Engineer with a TS/SCI security clearance to support EHS and our government ...

kgs

Data Center Infrastructure Engineer (TS)

Washington, DC · On-site

$121K - $159K/yr

We are seeking an experienced Data Center Infrastructure Engineer to design, implement, monitor, and manage enterprisegrade data center infrastructure. This engineer will ensure the reliability ...

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Showing results 41-60

All JobsInfrastructure Engineer JobsInfrastructure Engineer Jobs in Chantilly, VA

Infrastructure Engineer information

See Chantilly, VA salary details

$47.6K

$130.1K

$186.3K

How much do infrastructure engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for infrastructure engineer in Chantilly, VA is $130,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $144,400.00 per year, depending on experience, location, and employer.

What is an infrastructure engineer?

An infrastructure engineer ensures that their organization’s computer network infrastructure functions properly. As an infrastructure engineer, you monitor computer systems, improve IT applications, and troubleshoot infrastructure problems. Exact job responsibilities vary widely depending on the employer, but typical duties involve working with storage and hosting technologies, monitoring computer software and hardware, installing servers, and developing cloud-based infrastructure. Infrastructure engineer positions are available in all industries, especially those with a heavy reliance on technology. This career requires extensive experience working with computers and the ability to stay current with emerging technologies and trends.

What are the key skills and qualifications needed to thrive as an infrastructure engineer, and why are they important?

To thrive as an Infrastructure Engineer, you need a solid understanding of networking, operating systems, cloud platforms, and infrastructure architecture, often supported by a degree in computer science or related fields. Familiarity with tools like AWS, Azure, VMware, automation frameworks (e.g., Ansible, Terraform), and relevant certifications such as AWS Certified Solutions Architect or CompTIA Network+ is typical. Strong problem-solving, communication, and teamwork skills help you collaborate across IT and business units and respond effectively to incidents. These skills and qualities are crucial for ensuring system reliability, security, and scalability in complex technology environments.

What are some common challenges infrastructure engineers face when managing large-scale systems?

Infrastructure Engineers often encounter challenges such as ensuring system scalability, maintaining high availability, and minimizing downtime during updates or incidents. Managing complex environments requires balancing security, performance, and cost efficiency while supporting rapid growth or changes in business needs. Effective communication and collaboration with development, security, and operations teams are also crucial to address issues quickly and maintain seamless service delivery.

What is the difference between Infrastructure Engineer vs Network Engineer?

AspectInfrastructure EngineerNetwork Engineer
CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNPCompTIA Network+, Cisco CCNA, Cisco CCNP
Work EnvironmentData centers, cloud environments, enterprise IT infrastructureNetwork operations centers, enterprise networks, ISP environments
ResponsibilitiesDesigning, implementing, maintaining IT infrastructure, servers, cloud systemsDesigning, configuring, troubleshooting network hardware and connectivity
Industry UsageIT companies, cloud providers, large enterprisesTelecommunications, ISPs, large organizations with complex networks

While both roles require similar certifications and work in enterprise environments, Infrastructure Engineers focus on overall IT infrastructure including servers and cloud systems, whereas Network Engineers specialize in network hardware and connectivity. Understanding these differences helps in choosing the right career path or job search focus.

More about Infrastructure Engineer jobs

What are popular job titles related to Infrastructure Engineer jobs in Chantilly, VA?

For Infrastructure Engineer jobs in Chantilly, VA, the most frequently searched job titles are:

What job categories do people searching Infrastructure Engineer jobs in Chantilly, VA look for?

The top searched job categories for Infrastructure Engineer jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Infrastructure Engineer jobs?

Cities near Chantilly, VA with the most Infrastructure Engineer job openings:

Infrastructure Engineer jobs near you
Infographic showing various Infrastructure Engineer job openings in Chantilly, VA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $130,090 per year, or $62.5 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Reston, VA • On-site

$100 - $150/hr

Other

Posted 23 days ago

Key responsibilities

  • Optimize AI training and inference workloads for maximum throughput, minimal latency, and reduced cost.

  • Work on low-level kernel optimization, distributed system tuning, and performance measurement to improve AI system efficiency.

  • Collaborate with cross-functional teams to translate requirements into well-engineered solutions and review code and design.

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: $100,000–$150,000 Annually

Experience: 6+ years

Sponsorship: U.S. Citizens, Green CardHolders, EADHolders, 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 — product, design, engineering, operations, and business stakeholders — 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.

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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