📍 Job Overview

Job Title: Systems Engineer (South Carolina or Massachusetts)
Company: Jobgether
Location: South Carolina, United States or Massachusetts, United States
Job Type: Remote (Full-Time)
Category: DevOps / Infrastructure
Date Posted: 2025-06-11

🚀 Role Summary

📝 Enhancement Note: This role involves supporting and improving the infrastructure behind advanced AI-based medical imaging applications, requiring a strong background in Linux systems, container orchestration, and cloud environments.
Collaborate cross-functionally to drive technical excellence in software deployment, customer system compatibility, and process automation.
Ensure efficient, secure, and scalable environments for medical imaging AI software.
Provide expert technical support to internal stakeholders and customers.

💻 Primary Responsibilities

📝 Enhancement Note: Responsibilities span from deployment and support of medical imaging AI software to troubleshooting technical issues and creating automation scripts, emphasizing a commitment to high-quality service and continuous improvement.
Deploy and support medical imaging AI software, ensuring seamless integration with customer infrastructure.
Gather and analyze installation requirements and environment specifications for efficient setup.
Troubleshoot and resolve technical issues across Linux systems, containers, and cloud platforms.
Create and maintain automation scripts for deployment and configuration tasks.
Contribute to process improvements within the delivery and implementation teams.
Provide expert technical support to internal stakeholders and customers, occasionally outside regular hours.
Ensure secure handling of protected health information (PHI) and follow compliance protocols.
Support capacity planning, performance tuning, and infrastructure scalability initiatives.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: Proven experience as a Systems Engineer, DevOps Engineer, or similar role, with a focus on Linux systems, cloud environments, and container orchestration.

Required Skills:

Strong hands-on experience with Linux (shell scripting, package management, performance tuning)
Familiarity with public/private cloud services (AWS, GCP, Azure) and container platforms (Docker, Kubernetes)
Experience with automation tools such as Terraform, Ansible, Jenkins, or ArgoCD
Working knowledge of monitoring tools (Zabbix, cloud observability platforms)
Proficiency in VPN setup, tunnels, secrets management, and API integrations
Understanding of data pipeline architectures and system scaling (horizontal/vertical)
Familiarity with Git, Jira, and general project management toolsets
Excellent communication, adaptability, and professional conduct in technical and client-facing scenarios
Ability to travel domestically and internationally up to 10%

Preferred Skills:

Experience with medical imaging or healthcare IT environments
Knowledge of compliance protocols for handling sensitive data (HIPAA, etc.)
Familiarity with AI and machine learning technologies

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with Linux systems, cloud environments, and container orchestration through relevant projects.
Showcase automation scripts and deployment processes for infrastructure management.
Highlight troubleshooting and problem-solving skills through case studies or success stories.
Include any experience with medical imaging or healthcare IT environments, if applicable.

Technical Documentation:

Document code quality, commenting, and documentation standards for deployment scripts and automation tools.
Describe version control, deployment processes, and server configuration strategies.
Explain testing methodologies, performance metrics, and optimization techniques for infrastructure management.

📝 Enhancement Note: Portfolio should emphasize technical skills, problem-solving abilities, and experience with relevant technologies, with a focus on Linux systems, cloud environments, and container orchestration.

💵 Compensation & Benefits

Salary Range: $90,000 - $140,000 per year (USD), depending on experience and location. This estimate is based on regional market data for Systems Engineers with relevant experience in the United States.

Benefits:

Remote-first position with flexible work arrangements
Exposure to cutting-edge AI and medical imaging technologies
Collaborative work culture focused on innovation and continuous improvement
Opportunities for professional development and upskilling
Competitive salary and performance-based incentives
Health and wellness programs

Working Hours: Full-time (40 hours/week), with occasional support outside regular hours as needed.

📝 Enhancement Note: Salary range is estimated based on regional market data for Systems Engineers with relevant experience in the United States. Actual salary may vary based on individual qualifications and company-specific compensation structures.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, focusing on AI-driven medical imaging and healthcare IT solutions.

Company Size: Medium-sized company, with a collaborative and innovative work culture.

Founded: Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Team Structure:

The Systems Engineer will work closely with implementation and support teams to drive technical excellence in software deployment, customer system compatibility, and process automation.
Collaborate cross-functionally with various teams, including development, quality assurance, and customer success.
Report directly to the Technical Lead or Manager.

Development Methodology:

Agile/Scrum methodologies for software development and deployment.
Collaborative code review, testing, and quality assurance practices.
CI/CD pipelines and automated deployment strategies for infrastructure management.

Company Website: jobgether.com

📝 Enhancement Note: Company culture is focused on innovation, continuous improvement, and collaboration, with a strong emphasis on technical excellence and customer success.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level to senior Systems Engineer or DevOps Engineer role, with a focus on infrastructure management, deployment, and support for AI-based medical imaging applications.

Reporting Structure: The Systems Engineer will report directly to the Technical Lead or Manager and collaborate closely with implementation and support teams.

Technical Impact: This role has a significant impact on the efficient, secure, and scalable deployment of medical imaging AI software, ensuring seamless integration with customer infrastructure and high-quality service.

Growth Opportunities:

Opportunities for professional development and upskilling within the company.
Potential for career progression into technical leadership or management roles.
Exposure to cutting-edge AI and medical imaging technologies, driving innovation and continuous improvement.

📝 Enhancement Note: Career growth opportunities are available within the company, with a focus on technical leadership and management roles, as well as exposure to emerging technologies in AI and medical imaging.

🌐 Work Environment

Office Type: Remote-first work environment, with flexible work arrangements and occasional travel for on-site support.

Office Location(s): South Carolina, United States or Massachusetts, United States

Workspace Context:

Collaborative work environment, with a focus on cross-functional teamwork and communication.
Access to development tools, multiple monitors, and testing devices as needed.
Opportunities for knowledge sharing, technical mentoring, and continuous learning.

Work Schedule: Full-time (40 hours/week), with occasional support outside regular hours as needed.

📝 Enhancement Note: Work environment is remote-first, with a focus on collaboration, communication, and continuous learning, allowing for flexible work arrangements and occasional travel for on-site support.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment focusing on Linux systems, cloud environments, and container orchestration. Expect to demonstrate your problem-solving skills and familiarity with relevant technologies.
Behavioral Interview: A behavioral interview to assess your communication skills, adaptability, and professional conduct in technical and client-facing scenarios.
Final Interview: A final interview with the Technical Lead or Manager to discuss your fit for the role and the team.

Portfolio Review Tips:

Highlight your experience with Linux systems, cloud environments, and container orchestration through relevant projects and case studies.
Demonstrate your automation skills and deployment processes for infrastructure management.
Showcase your troubleshooting and problem-solving skills through success stories and technical challenges.

Technical Challenge Preparation:

Brush up on your Linux systems, cloud environments, and container orchestration skills.
Familiarize yourself with relevant automation tools and deployment processes.
Prepare for behavioral interview questions, focusing on your communication skills, adaptability, and professional conduct in technical and client-facing scenarios.

ATS Keywords: Linux, Cloud Services, Container Platforms, Automation Tools, Monitoring Tools, VPN Setup, API Integrations, Data Pipeline Architectures, Git, Jira, Technical Support, Process Improvement, Troubleshooting, Deployment Scripting, Cross-Functional Collaboration, Performance Tuning, Infrastructure Scalability

📝 Enhancement Note: The interview process focuses on assessing your technical skills, problem-solving abilities, and communication skills, with a strong emphasis on relevant technologies and industry-specific challenges.

🛠 Technology Stack & Web Infrastructure

Operating Systems: Linux (Ubuntu, CentOS, etc.)

Cloud Services: AWS, GCP, Azure

Container Platforms: Docker, Kubernetes

Automation Tools: Terraform, Ansible, Jenkins, ArgoCD

Monitoring Tools: Zabbix, cloud observability platforms (Prometheus, Grafana, etc.)

Version Control: Git

Project Management: Jira

📝 Enhancement Note: Technology stack is focused on Linux systems, cloud environments, and container orchestration, with a strong emphasis on automation tools and monitoring tools for infrastructure management.

👥 Team Culture & Values

Web Development Values:

Innovation: Drive technical excellence and continuous improvement in software deployment, customer system compatibility, and process automation.
Quality: Ensure efficient, secure, and scalable environments for medical imaging AI software, with a commitment to high-quality service.
Collaboration: Work closely with implementation and support teams to drive technical excellence and customer success.
Adaptability: Adapt to changing environments and customer requirements, demonstrating professional conduct in technical and client-facing scenarios.

Collaboration Style:

Collaborative work environment, with a focus on cross-functional teamwork and communication.
Code review culture and peer programming practices for infrastructure management and deployment.
Knowledge sharing, technical mentoring, and continuous learning opportunities.

📝 Enhancement Note: Team culture is focused on innovation, collaboration, and adaptability, with a strong emphasis on driving technical excellence and customer success through cross-functional teamwork and communication.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Troubleshooting and resolving technical issues across Linux systems, containers, and cloud platforms.
Ensuring secure handling of protected health information (PHI) and following compliance protocols.
Supporting capacity planning, performance tuning, and infrastructure scalability initiatives.

Learning & Development Opportunities:

Opportunities for professional development and upskilling within the company.
Exposure to cutting-edge AI and medical imaging technologies, driving innovation and continuous improvement.
Technical mentoring and knowledge sharing, with a focus on infrastructure management and deployment.

📝 Enhancement Note: Technical challenges and learning opportunities are focused on infrastructure management, deployment, and support for AI-based medical imaging applications, with a strong emphasis on driving innovation and continuous improvement.

💡 Interview Preparation

Technical Questions:

Linux Systems: Demonstrate your proficiency in Linux systems, including shell scripting, package management, and performance tuning.
Cloud Environments: Show your familiarity with public/private cloud services (AWS, GCP, Azure) and container platforms (Docker, Kubernetes).
Automation Tools: Explain your experience with automation tools such as Terraform, Ansible, Jenkins, or ArgoCD.
Troubleshooting: Walk through a troubleshooting scenario, demonstrating your problem-solving skills and familiarity with relevant technologies.

Company & Culture Questions:

Technical Lead/Manager: Discuss your fit for the role and the team, focusing on your technical skills, problem-solving abilities, and communication skills.
Customer Success: Explain how you would ensure high-quality service and customer success in a medical imaging AI software deployment scenario.
Process Improvement: Describe your approach to process improvement within the delivery and implementation teams, focusing on driving technical excellence and customer success.

Portfolio Presentation Strategy:

Highlight your experience with Linux systems, cloud environments, and container orchestration through relevant projects and case studies.
Demonstrate your automation skills and deployment processes for infrastructure management.
Showcase your troubleshooting and problem-solving skills through success stories and technical challenges.

📝 Enhancement Note: Interview preparation focuses on assessing your technical skills, problem-solving abilities, and communication skills, with a strong emphasis on relevant technologies and industry-specific challenges.

📌 Application Steps

To apply for this Systems Engineer position:

Customize Your Portfolio: Highlight your experience with Linux systems, cloud environments, and container orchestration through relevant projects and case studies. Demonstrate your automation skills and deployment processes for infrastructure management. Showcase your troubleshooting and problem-solving skills through success stories and technical challenges.
Optimize Your Resume: Emphasize your technical skills, problem-solving abilities, and communication skills, with a focus on relevant technologies and industry-specific challenges. Highlight your experience with Linux systems, cloud environments, and container orchestration, as well as any experience with medical imaging or healthcare IT environments.
Prepare for Technical Interview: Brush up on your Linux systems, cloud environments, and container orchestration skills. Familiarize yourself with relevant automation tools and deployment processes. Prepare for behavioral interview questions, focusing on your communication skills, adaptability, and professional conduct in technical and client-facing scenarios.
Research the Company: Familiarize yourself with Jobgether's mission, values, and work culture. Understand their focus on AI-driven medical imaging and healthcare IT solutions, as well as their commitment to innovation, continuous improvement, and collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Systems Engineer (South Carolina or Massachusetts)