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Freelance Remote Linux Support Jobs in Illinois (NOW HIRING)

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Freelance Remote Linux Support information

What is the difference between Freelance Remote Linux Support vs Freelance Remote System Administrator?

AspectFreelance Remote Linux SupportFreelance Remote System Administrator
CredentialsLinux certifications (e.g., LPIC, CompTIA Linux+)Linux certifications, plus system administration experience
Work EnvironmentRemote, client sites, or cloud environmentsRemote, data centers, or client infrastructure
Industry UsageTech, hosting, cloud providersIT services, enterprise, cloud management
Search & ComparisonOften compared for troubleshooting and support rolesCompared for infrastructure management and system setup

Freelance Remote Linux Support focuses on troubleshooting, maintenance, and support of Linux systems, often requiring specific Linux certifications. Freelance Remote System Administrator roles encompass broader responsibilities like managing entire IT infrastructure, including servers and networks. While both roles are remote and Linux-focused, system administrators typically handle more comprehensive system management tasks.

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Freelance Remote Linux Support jobs near you

Forward Deployed Engineer

David Joseph & Company

Chicago, IL • Remote

$144K - $200K/yr

Full-time

Medical

Posted 10 days ago

Job description

Remote (US) · ~40–50% travel · Full-time
Compensation: $144K–$200K base ($180K–$250K OTE) + equity

About the Company

Our client is a well-funded, growth-stage computer vision / physical-AI company whose platform is used by more than a million developers and a large share of the Fortune 100, primarily across manufacturing and industrial settings. They help the world's largest companies take vision models from proof-of-concept to real production on the factory floor.

Founded 2019 · ~70 people · Industry: AI, Software Development, Devtools

The Role

You'll take computer vision deployments from proof-of-concept to production at major manufacturing, logistics, and industrial organizations. This is a hands-on, 0-to-1 builder role for someone who thrives in ambiguous, real-world environments — embedding directly with customer teams and shipping production-grade systems that hold up outside the lab.

What you'll be doing

  • Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment.
  • Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites.
  • Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need.
  • Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits.
  • Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras

Requirements
  • Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role.
  • Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support.
  • Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux).
  • Automation, mechanical, or industrial engineers with strong software engineering skills are welcome.
  • A BS in computer science, engineering, or a related technical field.
  • Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player.
  • Able to communicate and build trust with everyone from executives to engineers to floor operators.
  • Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred.
Nice to Haves
  • Background in manufacturing, logistics, automotive, or robotics/automation.
  • Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines.
Why Join
  • Join a company with genuine traction: a platform already used at massive scale by household-name enterprises.
  • Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends.
  • Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture.
  • A career-defining field role where you own real production outcomes for major customers.
Details
  • Location: Remote (US); Midwest strongly preferred (Chicago, Indianapolis, Cleveland); NYC/SF/DC hubs
  • Work policy: Remote with ~40–50% travel for on-site customer deployments
  • Compensation: $144K–$200K base ($180K–$250K OTE) + equity
  • Visa sponsorship: Not available — US work authorization required (US citizen / Green Card)
  • Employment type: Full-time