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Remote Linux System Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

This is a fully remote position within a globally distributed, innovation-focused engineering ... Contribute to scalable backend systems supporting high-throughput model inference and production AI ...

Healthcare

ENGR SR SOFTWARE DEVT

Kansas City, MO · Remote

$119K - $157K/yr

Experience developing code for a Linux/Unix based operating system. * Experience developing and ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Healthcare

ENGR SR SOFTWARE DEVT

Saint Louis, MO · Remote

$119K - $157K/yr

Experience developing code for a Linux/Unix based operating system. * Experience developing and ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Jobgether

$35 - $50/hr

You will design and ship the core systems powering agentic workflows, conversational AI, and ... Fully remote role with flexibility to work from anywhere globally. * Opportunity to work on cutting ...

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Remote Linux System Engineer information

What is a Remote Linux System Engineer?

A Remote Linux System Engineer is an IT professional who specializes in managing, configuring, and maintaining Linux-based servers and systems while working from a remote location. Their responsibilities include system installation, updates, troubleshooting, security management, and performance tuning. They often work with cloud platforms, automation tools, and scripting to ensure the reliable and secure operation of Linux environments. Remote Linux System Engineers collaborate with other IT staff and may provide technical support to end-users or clients. This role requires strong problem-solving skills and a deep understanding of Linux operating systems.

What are the key skills and qualifications needed to thrive as a Remote Linux System Engineer, and why are they important?

To thrive as a Remote Linux System Engineer, you need in-depth knowledge of Linux operating systems, scripting languages (such as Bash or Python), and a degree in computer science or related field. Familiarity with configuration management tools (like Ansible or Puppet), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., RHCE, CompTIA Linux+) are typically required. Strong problem-solving skills, effective communication, and self-motivation are essential for remote collaboration and troubleshooting. These skills ensure secure, efficient, and reliable system operations in distributed, enterprise environments.

What is the difference between Remote Linux System Engineer vs Remote Network Administrator?

AspectRemote Linux System EngineerRemote Network Administrator
CertificationsLinux certifications (e.g., RHCE, CompTIA Linux+)Network certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentServer management, cloud platforms, scriptingNetwork infrastructure, routers, switches, firewalls
Industry UsageIT, cloud services, hosting providersTelecommunications, enterprise networks, data centers

The Remote Linux System Engineer primarily focuses on managing Linux servers, automation, and cloud environments, while the Remote Network Administrator handles network infrastructure, configuration, and security. Both roles require technical certifications and often work remotely in IT and tech industries, but their core responsibilities differ in system versus network management.

What are some common challenges faced by Remote Linux System Engineers, and how can they be addressed?

Remote Linux System Engineers often encounter challenges related to communication and troubleshooting without physical access to hardware. Effective collaboration tools and clear documentation are essential for working efficiently with distributed teams. Additionally, setting up secure remote access and monitoring systems can help quickly identify and resolve issues. Regular virtual meetings and proactive communication with team members also play a crucial role in ensuring operational continuity and minimizing downtime.
What are the most commonly searched types of Linux System Engineer jobs in Missouri? The most popular types of Linux System Engineer jobs in Missouri are:
What are popular job titles related to Remote Linux System Engineer jobs in Missouri? For Remote Linux System Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Linux System Engineer jobs in Missouri look for? The top searched job categories for Remote Linux System Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Linux System Engineer jobs? Cities in Missouri with the most Remote Linux System Engineer job openings:
Remote Linux System Engineer jobs near you

Senior NLP Engineer

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 5 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior NLP Engineer based in Netherlands.

This role sits at the core of building next-generation AI systems that power large-scale social and conversational products used by millions of people worldwide. You will be responsible for designing and improving advanced language models that enable intelligent, engaging, and human-like interactions across AI-driven companions and chat systems. The environment is highly research-driven yet production-focused, combining cutting-edge NLP experimentation with real-world deployment at global scale. You will work closely with multidisciplinary teams spanning data, validation, and product to continuously refine model behavior and quality. The role offers the opportunity to influence the full LLM lifecycle-from training and fine-tuning to deployment and optimization. You will also contribute to shaping the organization's NLP roadmap by tracking the latest advancements in AI research and open-source ecosystems. This is a fully remote position within a globally distributed, innovation-focused engineering culture.

Accountabilities:
  • Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale.
  • Design, build, and maintain agentic frameworks, including agent harnesses, reasoning loops, and chat orchestration systems.
  • Own the end-to-end LLM lifecycle, from data preparation and model training to deployment and production monitoring.
  • Research and evaluate state-of-the-art NLP techniques and translate them into actionable improvements for the product roadmap.
  • Implement and improve alignment methods such as RLHF, DPO, and other post-training optimization strategies.
  • Collaborate with validation, content, and data teams to design experiments and measure model quality and performance.
  • Contribute to scalable backend systems supporting high-throughput model inference and production AI workloads.
Requirements:
  • Strong hands-on experience training and fine-tuning large language models in production or research environments.
  • Proven experience building agentic pipelines, LLM orchestration systems, or AI agent frameworks.
  • Deep understanding of transformer architectures, PyTorch, and modern NLP/ML libraries.
  • Solid knowledge of alignment techniques such as RLHF, DPO, and related post-training methodologies.
  • Background in backend or systems engineering using Python (preferred), Go, or C#, with exposure to scalable deployment architectures.
  • Experience in AI-first companies or research-driven product teams (e.g., conversational AI, LLM startups) is highly desirable.
  • Strong analytical thinking, experimentation mindset, and ability to translate research into production-ready systems.
  • Nice to have: experience with multimodal models (text, image, video), distributed training on large datasets, or CV-related model development.
Benefits:
  • Fully remote work opportunity with global team flexibility
  • 28 days of annual vacation plus 7 additional wellness days
  • Performance bonuses, including referral rewards up to $5,000
  • Financial support for professional development (50% coverage of training, conferences, and industry events)
  • English language learning discounts through corporate programs
  • Annual health support budget up to $1,000 for medical insurance or healthcare expenses
  • Workplace support allowance up to $1,000 every three years for home office or co-working setup
  • Internal rewards system with redeemable bonuses for perks, experiences, and team activities
  • Access to a globally distributed, innovation-driven engineering culture with continuous learning opportunities
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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