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Remote Linux Contract Jobs in California (NOW HIRING)

Xage Security

Senior Backend Engineer

Palo Alto, CA · Remote

$150K - $180K/yr

Named by Forbes one of America's Best Startup Employers 2024 $17 million contract awarded by U.S ... Remote Access Named in Forrester research on Operation Technology Security Solutions, and ...

Peraton

Senior DevSecOps Engineer

San Diego, CA · On-site +1

$112K - $179K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Linux systems (e.g., RHEL, CentOS, Ubuntu) * Automation and scripting (e.g., Bash, Python ...

Peraton

Senior DevSecOps Engineer

San Diego, CA · On-site +1

$112K - $179K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Linux systems (e.g., RHEL, CentOS, Ubuntu) * Automation and scripting (e.g., Bash, Python ...

Peraton

Senior DevSecOps Engineer

San Diego, CA · On-site +1

$112K - $179K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Linux systems (e.g., RHEL, CentOS, Ubuntu) * Automation and scripting (e.g., Bash, Python ...

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Showing results 41-52

All JobsLinux Contract JobsRemote Linux Contract JobsRemote Linux Contract Jobs in California

Remote Linux Contract information

What is the difference between Remote Linux Contract vs Remote Linux Engineer?

AspectRemote Linux ContractRemote Linux Engineer
CredentialsTypically requires Linux certifications (e.g., RHCE, CompTIA Linux+)Same certifications often preferred or required
Work EnvironmentProject-based, short-term contracts, often freelance or consultingFull-time or part-time employment, ongoing roles within companies
Employer & Industry UsageUsed by companies seeking temporary Linux expertise for specific projectsUsed by organizations maintaining Linux infrastructure, ongoing support roles
Search & Comparison IntentPeople looking for temporary Linux roles or freelance opportunitiesIndividuals seeking permanent or long-term Linux engineering roles

Remote Linux Contract roles focus on short-term, project-based work requiring specific Linux skills, often with freelance or consulting arrangements. Remote Linux Engineer positions are typically ongoing, full-time roles within organizations, emphasizing continuous Linux system management and support. Both roles require similar certifications and skills but differ mainly in employment type and work duration.

What are the most commonly searched types of Remote Linux jobs in California?

The most popular types of Remote Linux jobs in California are:

What are popular job titles related to Remote Linux Contract jobs in California?

For Remote Linux Contract jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Linux Contract jobs in California look for?

The top searched job categories for Remote Linux Contract jobs in California are:

What cities in California are hiring for Remote Linux Contract jobs?

Cities in California with the most Remote Linux Contract job openings:

Remote Linux Contract jobs near you
Infographic showing various Remote Linux Contract job openings in California as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

Customer Reliability Engineer

Andromeda Cluster, Inc

San Francisco, CA • On-site, Remote

$120K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Customer Reliability Engineer
Location: Remote/SF-Hybrid • Full-Time
About Andromeda
Andromeda gives AI companies access to the kind of scaled compute once reserved for hyperscalers. Our platform connects 100+ AI customers to 50+ global providers, with billions of GPU-hours supported, and those numbers are all rapidly growing. We combine enterprise-grade reliability with the speed and economics of an open market, serving teams running everything from large-scale training to production inference.
Nat Friedman (former CEO of GitHub) and Daniel Gross (former head of AI at Apple, YC partner) started Andromeda in 2023 with a single GPU cluster. It filled almost immediately. Three years later, we're a $1.5B company, profitable since day one, with a Series A from Paradigm to scale the platform globally. The global flow of compute is already a multi-trillion dollar market, and our team is building the infrastructure that enables it to continue to scale.
The problem is deceptively hard. Not all compute is equal: interconnect, networking, OEM, firmware, and cluster age all vary across providers, and the differences matter at scale. Our platform benchmarks and validates capacity, takes positions, structures contracts, and operates clusters globally, delivering a consistent product regardless of where it runs. No one else has built this layer, and the AI industry can't scale without it.
The Role
Our customers run large AI training and inference workloads on GPU clusters we source from providers worldwide. When a node goes dark or a job dies eight hours into a run, the Customer Reliability Engineer is who they hear from, and who gets it sorted.
The job has three parts. You triage incoming issues and debug them at the Linux and Kubernetes layer. You work provider-side to figure out whose fault something actually is and push external providers to fix it. And you build the monitoring and scripts that catch problems before a customer has to tell us.
You need to be comfortable in a Linux shell and know how Kubernetes works. You don't need GPU or HPC experience. Most people pick that up here.
What You'll Do
Triage and fix customer issues
  • Own issues start to finish: reproduce, diagnose, fix or escalate, close the loop
  • Debug at the Linux layer: processes, networking, storage, kernel logs, resource contention, systemd, journald
  • Dig into Kubernetes problems like pods stuck pending or crash-looping, node conditions, scheduling failures, resource limits
  • Work GPU failures: driver and device-plugin issues, XID errors, thermal throttling, nodes that need cordoning or draining, jobs failing across multiple nodes
  • Escalate when you're past your depth, with the evidence already gathered

Handle incidents
  • Take part in a 24/7 on-call rotation
  • First response on alerts and customer-reported outages: assess impact, set severity, pull in the right people
  • Keep customers updated during incidents. Clear status, honest unknowns, no silence
  • Write up what happened, then turn it into a runbook, an alert, or a fix so it costs less next time

Push providers to resolution
  • Work out whether a fault is provider-side, ours, or the customer's before it gets handed anywhere
  • Open tickets with compute providers and chase them down rather than waiting
  • Track recurring provider failures and flag the patterns to the people making sourcing decisions

Build the tooling
  • Write Python or Bash to automate the checks you'd otherwise run by hand
  • Build and improve monitoring: cluster and node health checks, GPU telemetry, dashboards, alerts that fire on real problems
  • Keep runbooks and customer docs current as you go

What We're Looking For
  • Real Linux troubleshooting ability from the command line. You can work a problem through logs, processes, networking, and disk without a script to follow
  • Working knowledge of Kubernetes: pods, nodes, deployments, services, scheduling, and how to investigate when one of those breaks
  • Can write a script in Python or Bash to automate something repetitive
  • Strong writing. You can explain a technical problem to a frustrated customer clearly and without condescension
  • Good judgment under pressure. You know what to check first, when to escalate, and how to keep people informed while you're still working it out
  • Willing to join a 24/7 on-call rotation

Strong Candidates May Have
  • Hands-on time with NVIDIA GPUs in production: drivers, CUDA, DCGM, the Kubernetes device plugin
  • Experience with high-performance networking (InfiniBand, RoCE) or NCCL
  • Experience with HPC or batch schedulers like Slurm
  • A previous customer-facing technical role: support engineering, TAM, solutions, professional services
  • Knowledge of Prometheus, Grafana, Datadog, or similar
  • IAC: Terraform, Ansible, or Helm
  • Genuine interest in AI infrastructure and how big training jobs behave

Why You'll Love It Here
  • High-growth environment: Get in early at a company at the center of the AI infrastructure boom
  • Competitive compensation: + meaningful equity
  • Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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