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Freelance Infrastructure Engineer Jobs (NOW HIRING)

AI Cloud Engineer

Manhattan, NY ยท On-site

$66/hr

We are seeking a highly skilled AI Infrastructure & Cloud Engineering Consultant to lead the ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Senior OpenStack DevOps Engineer (CA)

$111K - $151K/yr

Design and implement multi-tenant OpenStack infrastructure aligned with open community standards ... Can we use Freelancer? : No * Named Job Posting? (if Yes - needs to be approved by SCSC) : No

... and manage infrastructure solutions using Terraform, ensuring scalability, security, and ... Can we use Freelancer? : No * Named Job Posting? (if Yes - needs to be approved by SCSC) : No

AWS DevOps Engineer- ONLY USC/GC

$54 - $74/hr

... Repos Infrastructure as Code (IaC) using ARM (Azure Resource Manager) templates, Bicep, or ... Can we use Freelancer? : No * Named Job Posting? (if Yes - needs to be approved by SCSC) : No

Senior DevOps Engineer

$133K - $170K/yr

Experience with integrating infrastructure as a result of acquisitions and mergers. * Azure and/or GCP experience About ProDev ProDev partners with incredible freelance developers from across North ...

Vice President, Infrastructure Engineering

Pittsburgh, PA ยท Hybrid

$174K - $225K/yr

Lead events with internal teams and freelance technicians; communicate clearly with executives and stakeholders under pressure. Audio Expertise * Live and hybrid audio engineering fundamentals ...

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Freelance Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do freelance infrastructure engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for freelance 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 Freelance Infrastructure Engineer vs Network Engineer?

AspectFreelance Infrastructure EngineerNetwork Engineer
CredentialsCertifications like Cisco CCNA, CompTIA Network+Certifications like Cisco CCNA, CompTIA Network+
Work EnvironmentIndependent, project-based, remote or on-siteTypically in organizations, on-site or remote
Industry UsageFreelance market, consulting, IT servicesCorporate, telecommunications, IT departments

Both roles require similar certifications and technical skills, but Freelance Infrastructure Engineers work independently on diverse projects, while Network Engineers are usually employed full-time within organizations managing network systems.

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

To thrive as a Freelance Infrastructure Engineer, you need a deep understanding of network architecture, cloud platforms, system administration, and infrastructure automation, often supported by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, Terraform, Docker, and certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator are highly valued. Strong problem-solving abilities, effective communication, and self-management skills set top freelancers apart in this role. These competencies are crucial for designing reliable systems, meeting client needs, and efficiently managing multiple independent projects.

What are Freelance Infrastructure Engineers?

Freelance Infrastructure Engineers are independent professionals who design, build, and maintain the foundational IT systems and networks for organizations on a project or contract basis. They work with servers, cloud platforms, storage, networking, and security systems to ensure the reliability and scalability of IT infrastructure. Unlike full-time employees, freelancers typically work with multiple clients, offering flexibility and a wide range of experience. Their responsibilities can include system deployment, automation, troubleshooting, and performance optimization.

What are some common challenges faced by freelance infrastructure engineers when managing multiple client projects?

Freelance infrastructure engineers often juggle several projects simultaneously, which can lead to challenges in time management, context switching, and prioritizing tasks. Coordinating with different client teams, each with its own communication style and technical stack, requires strong organizational and interpersonal skills. Additionally, staying updated with evolving technologies while ensuring each client's systems remain secure and reliable can be demanding. Successful freelancers develop robust workflows and clear communication habits to manage these complexities and deliver consistent results.
More about Freelance Infrastructure Engineer jobs
What cities are hiring for Freelance Infrastructure Engineer jobs? Cities with the most Freelance Infrastructure Engineer job openings:
What are the most commonly searched types of Infrastructure Engineer jobs? The most popular types of Infrastructure Engineer jobs are:
What states have the most Freelance Infrastructure Engineer jobs? States with the most job openings for Freelance Infrastructure Engineer jobs include:
What job categories do people searching Freelance Infrastructure Engineer jobs look for? The top searched job categories for Freelance Infrastructure Engineer jobs are:
Infographic showing various Freelance Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Data Infrastructure Engineer (Rust) - High Performance Computing

Alignerr

Denver, CO โ€ข Remote

Other

Posted 4 days ago


Job description

Data Infrastructure Engineer (Rust) - High Performance Computing
About the Role
What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Rust Engineer to build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models.
This is a fully remote, flexible contract role for an elite systems engineer who knows Rust at a deep level - memory layout, SIMD, concurrency, and all. You'll work on real production systems at the frontier of AI development, collaborating with research and engineering teams doing genuinely important work.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Rust systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control
  • Identify and eliminate bottlenecks through deep profiling, SIMD optimizations, and careful memory management
  • Improve reliability, performance, and safety across existing Rust codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews and iterate quickly on system architecture decisions
Who You Are
  • 5+ years
    of professional experience writing production-grade Rust
  • Deep expertise in
    data parallelism and concurrency patterns
    - you know how to maximize CPU saturation
  • Strong command of
    memory layout, SIMD optimizations, and heap allocation strategies
    to hunt down and fix performance bottlenecks
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20-40 hours per week consistently
  • Self-directed and comfortable working asynchronously in a remote engineering environment
Nice to Have
  • Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems architecture or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on cutting-edge AI infrastructure projects alongside leading research labs
  • Fully remote and flexible - structure your work around your life
  • Freelance autonomy with the substance of high-impact, senior-level engineering work
  • Tackle genuinely hard systems problems that matter at scale
  • Potential for ongoing work and contract extension as new projects launch