Systems Administrator (Remote)

Systems Administrator

Job Type: Full-Time
Work Arrangement: 100% Remote
Experience Required: 2–4 Years
Location: United States (Remote)
Salary Range: $75,000–$110,000 per year, depending on experience and qualifications

Job Overview

We are seeking a skilled Systems Administrator to manage, maintain, and optimize our IT infrastructure, systems, and computing environments. The ideal candidate will have 2–4 years of relevant experience, with knowledge of Python scripting, statistical concepts, model evaluation, and machine learning frameworks.

This is a full-time, fully remote opportunity for candidates currently residing in the United States who are passionate about system reliability, automation, troubleshooting, and performance optimization.

Key Responsibilities

• Install, configure, monitor, and maintain servers, operating systems, and IT infrastructure.

• Automate routine system administration tasks using Python scripting.

• Monitor system performance, availability, resource utilization, and reliability.

• Troubleshoot hardware, software, network, and system-related issues.

• Support deployments and maintenance of applications, data processing tools, and ML-related environments.

• Assist with evaluating system and model performance using appropriate statistical metrics.

• Maintain system security, user accounts, access permissions, backups, and recovery procedures.

• Manage software updates, patches, configurations, and technical documentation.

• Collaborate with IT, DevOps, data science, and engineering teams to improve infrastructure efficiency.

• Identify recurring operational issues and implement automation to reduce manual work.

Required Skills & Qualifications

• 2–4 years of experience in systems administration, IT operations, infrastructure support, or a related field.

• Proficiency in Python scripting for automation and troubleshooting.

• Understanding of statistical concepts and performance evaluation metrics.

• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Experience with Windows or Linux system administration.

• Knowledge of networking fundamentals, DNS, TCP/IP, and system monitoring.

• Familiarity with backup, recovery, patch management, and access control.

• Strong troubleshooting, analytical, communication, and documentation skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

• Familiarity with Docker, Kubernetes, Git, or CI/CD pipelines.

• Exposure to ML model deployment, monitoring, and evaluation workflows.

• Knowledge of configuration management and infrastructure automation tools.

• Relevant certifications in Linux, Microsoft, AWS, Azure, or IT infrastructure.

Work Locations

Work Mode: Fully Remote — United States

Candidates may be considered from the following U.S. locations, subject to the employer's approved remote-work states:

1. Austin, Texas

2. Dallas, Texas

3. Atlanta, Georgia

4. Chicago, Illinois

5. Seattle, Washington

Candidates must currently reside in the United States.

Salary & Benefits

• Estimated annual salary: $75,000–$110,000.

• Competitive compensation based on experience, technical skills, and location.

• Full-time, 100% remote work.

• Professional development and training opportunities.

• Health insurance, paid time off, and retirement benefits may be available, depending on the employer.

Salary and benefits are estimates and should be confirmed with the hiring employer.

Ideal Candidate

The ideal candidate combines strong systems administration fundamentals with Python automation skills and familiarity with statistical analysis, model evaluation, and ML frameworks. They should be comfortable troubleshooting complex technical issues, improving system reliability, and supporting modern computing environments.

Employment Type: Full-Time
Work Arrangement: Fully Remote
Experience: 2–4 Years
Candidate Location: Must reside in the U.S.

Apply today to help maintain reliable, secure, and high-performing technology infrastructure.