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Linux Infrastructure Engineer Jobs in California

Infrastructure Engineer

Fremont, CA · On-site

$117.70K - $154.30K/yr

... strong software engineering background to help drive modernization of our infrastructure and ... Strong knowledge of Linux internals and high competency in Bash scripting and command-line ...

Staff Infrastructure Engineer About Us Vast.ai's cloud powers AI projects and businesses all over ... Full-time On-site at either our SF or LA offices Tech Stack Python, C++, PostgreSQL, Linux, Docker ...

Cloud Infrastructure Engineer

Sunnyvale, CA · On-site

$126.20K - $165.50K/yr

... engineering problems across distributed systems, large-scale data infrastructure, and cloud ... Linux systemsExcellent communication and collaboration skillsExperience with film and game ...

Staff Infrastructure Engineer About Us Vast.ai's cloud powers AI projects and businesses all over ... Full-time • On-site at either our SF or LA offices Tech Stack Python, C++, PostgreSQL, Linux ...

Robotics Metrics Infrastructure Engineer Job Number: 26-00882 Progress on your journey to success ... Lambda, S3, EC2 Linux: Comfortable on the command line beyond basic navigation (SSH, cron, tmux ...

New

Senior Cloud Infrastructure Engineer

San Ramon, CA · On-site +1

$121.20K - $164.80K/yr

Expert knowledge of Kubernetes and Linux systems (Ubuntu, RHEL/CentOS). * Proficiency with ... infrastructure environments. * Bachelor's degree in computer science, IT, Engineering, or a related ...

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Linux Infrastructure Engineer information

See California salary details

$45.9K

$125.4K

$179.6K

How much do linux infrastructure engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for linux infrastructure engineer in California is $125,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Linux Infrastructure Engineer, you need deep expertise in Linux system administration, networking, scripting languages, and often a degree in computer science or related fields. Familiarity with tools like Ansible, Docker, Kubernetes, and monitoring systems, as well as certifications such as RHCE or CompTIA Linux+, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and resolve infrastructure issues efficiently. These skills are critical for ensuring system stability, scalability, and security within complex IT environments.

What are some common challenges Linux Infrastructure Engineers face when managing large-scale server environments?

Linux Infrastructure Engineers often encounter challenges such as ensuring high availability and reliability across numerous servers, managing configuration drift, and automating repetitive tasks. Security is also a significant concern, requiring constant monitoring for vulnerabilities and timely patching. Additionally, troubleshooting and resolving issues in a distributed environment can be complex, often necessitating strong collaboration with development, security, and networking teams to maintain seamless operations.

What are Linux Infrastructure Engineers?

Linux Infrastructure Engineers are IT professionals who design, implement, maintain, and troubleshoot Linux-based systems and servers that form the backbone of an organization's IT infrastructure. Their responsibilities include managing server deployments, ensuring system security and stability, automating processes, and supporting cloud or on-premises environments. They often work closely with development and operations teams to optimize performance and reliability, making sure that critical business applications run smoothly on Linux platforms.

What is the difference between Linux Infrastructure Engineer vs System Administrator?

AspectLinux Infrastructure EngineerSystem Administrator
CertificationsLinux certifications (e.g., RHCE, CompTIA Linux+)CompTIA A+, Network+, Linux certifications often preferred
Work EnvironmentDesigning, implementing, and maintaining Linux-based infrastructureManaging and supporting IT systems, including servers and networks
ResponsibilitiesBuilding scalable Linux systems, scripting, automationMonitoring, troubleshooting, user support

While both roles involve Linux systems, a Linux Infrastructure Engineer focuses on designing and deploying Linux infrastructure, whereas a System Administrator manages day-to-day operations and support. The engineer role is more project-oriented, while the administrator role emphasizes maintenance and troubleshooting.

What are popular job titles related to Linux Infrastructure Engineer jobs in California? For Linux Infrastructure Engineer jobs in California, the most frequently searched job titles are:
Infographic showing various Linux Infrastructure Engineer job openings in California as of May 2026, with employment types broken down into 87% Full Time, 4% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $125,402 per year, or $60.3 per hour.
Infrastructure Engineer, Sandboxing

Infrastructure Engineer, Sandboxing

Anthropic

San Francisco, CA • On-site

$126.70K - $166.10K/yr

Other

Posted 20 days ago


Job description

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities
  • Design, build, and operate distributed backend systems that power secure sandboxed execution environments
  • Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
  • Implement and maintain serverless architectures and container orchestration systems
  • Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
  • Develop monitoring, alerting, and observability systems to ensure operational excellence
  • Participate in on-call rotations and incident response to maintain system reliability
  • Contribute to infrastructure automation and tooling that improves developer productivity
  • Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees
You may be a good fit if you
  • Have 5+ years of experience building and operating backend infrastructure at scale
  • Have deep expertise in distributed systems design and implementation
  • Have strong operational experience, including debugging complex production issues
  • Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
  • Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
  • Are comfortable working with infrastructure as code and modern DevOps practices
  • Have strong programming skills in languages such as Python, Go, or Rust
  • Are results-oriented with a bias towards flexibility and impact
  • Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have experience with
  • Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
  • Designing and implementing secure multi-tenant systems
  • High-performance computing environments or ML infrastructure
  • Linux systems internals, including namespaces, cgroups, and seccomp
  • Network security and isolation techniques
  • Building systems that support research workflows and rapid iteration