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Remote Configuration Management Jobs in California

Platform9 Systems

Senior Platform Engineer

San Jose, CA · On-site +1

$127K - $172K/yr

US (Remote) About Platform9 Platform9 is the leader in enterprise Private Cloud. Founded by VMware ... Automate infrastructure provisioning, configuration management, and application deployments using ...

Joby Aviation

Senior Software Engineer

Santa Cruz, CA · Remote

$193K/yr

Lead the design and implementation of frameworks to support remote monitoring and management of ... Proficiency in configuration management tools such as Ansible, and version-controlled ...

Capio Group

Business Analyst Lead

Sacramento, CA · On-site +1

$115K - $125K/yr

Capio Group is looking for an experienced Business Analyst Lead! Full-time employee - Remote Salary ... configuration management, testing support, sprint execution, training and knowledge transfer ...

Joby Aviation

Senior Software Engineer

Santa Cruz, CA · Remote

$193K/yr

Lead the design and implementation of frameworks to support remote monitoring and management of ... Proficiency in configuration management tools such as Ansible, and version-controlled ...

SAIC

DevSecOps Chief

Beale Air Force Base, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_HYBRID Description SAIC is a trusted leader in delivering ... manages environment provisioning and configuration, and partners closely with engineering ...

Joby Aviation

Senior Software Engineer

Santa Cruz, CA · Remote

$117K - $193K/yr

Lead the design and implementation of frameworks to support remote monitoring and management of ... Proficiency in configuration management tools such as Ansible, and version-controlled ...

Nexgen Asset Management

$65K - $75K/yr

NEXGEN Asset Management delivers powerful, innovative SaaS solutions for asset and maintenance ... Coordinate internal team activities (e.g., support tickets, API integrations, product configuration ...

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All JobsRemote Configuration Management JobsRemote Configuration Management Jobs in California

Remote Configuration Management information

See California salary details

$37K

$94.7K

$142.6K

How much do remote configuration management jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote configuration management in California is $94,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What is a Remote Configuration Management job?

A Remote Configuration Management job involves overseeing and maintaining system configurations for software, networks, or IT infrastructure from a remote location. This role ensures that systems are properly set up, updated, and optimized to meet operational requirements. Responsibilities often include version control, troubleshooting configuration issues, and enforcing compliance with company policies. It requires knowledge of configuration management tools, scripting, and automation to streamline deployments and updates efficiently.

What are typical challenges faced by professionals in Remote Configuration Management roles?

Professionals in Remote Configuration Management often encounter challenges such as coordinating updates across multiple systems and ensuring consistency in diverse environments. Managing configuration changes remotely requires meticulous attention to detail, robust documentation practices, and proactive monitoring to prevent misconfigurations or downtime. It's also important to maintain clear communication with cross-functional teams to align on deployment schedules and troubleshoot issues efficiently. Mastering these challenges helps support reliable, scalable infrastructures crucial for business operations.

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

To excel in Remote Configuration Management, you need a solid understanding of IT systems, version control, and deployment practices, often supported by a degree in computer science or related experience. Familiarity with tools such as Ansible, Puppet, Chef, or Jenkins, along with certifications in ITIL or Agile methodologies, is highly beneficial. Strong problem-solving, communication, and organizational skills help professionals coordinate configurations across distributed teams effectively. These competencies are critical to ensuring stable system environments, minimizing operational errors, and enabling seamless remote collaboration.

What are the most commonly searched types of Configuration Management jobs in California? The most popular types of Configuration Management jobs in California are:
What are popular job titles related to Remote Configuration Management jobs in California? For Remote Configuration Management jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Configuration Management jobs in California look for? The top searched job categories for Remote Configuration Management jobs in California are:
What cities in California are hiring for Remote Configuration Management jobs? Cities in California with the most Remote Configuration Management job openings:
Remote Configuration Management jobs near you
Infographic showing various Remote Configuration Management job openings in California as of June 2026, with employment types broken down into 84% Full Time, 10% Part Time, 3% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $94,679 per year, or $45.5 per hour.

Hyperbolic Labs - Senior GPU Infrastructure Engineer

De Circle

San Francisco, CA • On-site, Remote

$127K - $173K/yr

Full-time

Posted 18 days ago

Job description

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
  • Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
  • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
  • Proficiency with API design and cloud-init for automated provisioning and configuration
  • Solid understanding of GPU architecture, CUDA, and GPU compute optimization
  • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
  • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
  • Experience building and scaling cloud infrastructure or distributed systems in production environments

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