1

Freelance Infrastructure Engineer Jobs (NOW HIRING)

DevOps/Automation Engineer

Pleasanton, CA ยท On-site

$70 - $85/hr

Design, build, and manage cloud infrastructure across Azure and GCP environments. * Develop and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Software Engineer

Manhattan, NY ยท On-site

$70/hr

... infrastructure and scalable distributed systems. This role is ideal for an experienced engineer who ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

next page

Showing results 1-20

Freelance Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do freelance infrastructure engineer jobs pay per year?

As of Jul 21, 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:
Infographic showing various Freelance Infrastructure Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Austin, TX โ€ข Remote

$45/hr

Part-time

Re-posted 24 days ago


Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.