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Remote Linux Jobs in Sunnyvale, CA (NOW HIRING)

Ability to work in a Linux/terminal environment with remote compute sandboxes. * Available for at least 15-20 hours per week . Preferred * Experience across multiple listed domains or tools.

Senior Cloud Infrastructure Engineer

San Ramon, CA · On-site +1

$121K - $164K/yr

Expert knowledge of Kubernetes and Linux systems (Ubuntu, RHEL/CentOS). * Proficiency with ... This role is fully remote for candidates who reside outside the 30 mile radius of one of our ...

Proficient with Linux system tools for hardware interrogation and fault analysis * Self-directed ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Senior Backend Engineer

Palo Alto, CA · Remote

$150K - $180K/yr

... Remote Access Named in Forrester research on Operation Technology Security Solutions, and ... Strong communication skills and expert system level skills on Linux OS such as Ubuntu, Alpine, Red ...

Showing results 41-60

Remote Linux information

See Sunnyvale, CA salary details

$42

$64

$83

How much do remote linux jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote linux in Sunnyvale, CA is $64.92, according to ZipRecruiter salary data. Most workers in this role earn between $58.94 and $69.66 per hour, depending on experience, location, and employer.

What does a Remote Linux do?

As a Remote Linux professional, your daily tasks may include server provisioning, managing user accounts, monitoring system health, deploying software updates, and troubleshooting network or application issues. You may also work on automation projects using scripting languages or configuration management tools to streamline system operations. Collaboration is often virtual, so you'll join regular meetings, coordinate with development or DevOps teams, and document processes or incidents thoroughly. Depending on your employer, you may participate in on-call rotations or respond to urgent incidents to ensure uptime and security. This variety of responsibilities provides both technical challenges and opportunities for skill development in a dynamic environment.

What is a Remote Linux?

A Remote Linux job involves managing, maintaining, and troubleshooting Linux-based systems from a remote location. Professionals in these roles may work as system administrators, DevOps engineers, or cloud engineers, ensuring server uptime, security, and performance. Common tasks include configuring servers, automating processes, and deploying applications. These jobs require expertise in Linux command-line tools, scripting languages, and networking. Many companies hire remote Linux professionals to support cloud environments, web servers, and enterprise systems.

What are the key skills and qualifications needed to thrive in the Remote Linux position, and why are they important?

To thrive in a Remote Linux role, you need a strong understanding of Linux system administration, shell scripting, networking concepts, and troubleshooting skills, often supported by a degree in computer science or relevant certifications such as CompTIA Linux+ or RHCSA. Proficiency with configuration management tools (like Ansible or Puppet), remote monitoring solutions, and cloud platforms is commonly required. Strong communication, self-motivation, and problem-solving abilities are key soft skills that help remote professionals excel. These skills ensure reliable system performance, efficient collaboration with distributed teams, and successful problem resolution in remote environments.

What are popular job titles related to Remote Linux jobs in Sunnyvale, CA? For Remote Linux jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Remote Linux jobs in Sunnyvale, CA look for? The top searched job categories for Remote Linux jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Remote Linux jobs? Cities near Sunnyvale, CA with the most Remote Linux job openings:
Infographic showing various Remote Linux job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $135,043 per year, or $64.9 per hour.

Bayesian Statistics Expert - Problem Designer

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Re-posted 10 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.