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Infrastructure Automation Jobs in California (NOW HIRING)

Bonus Homes

Infrastructure Manager

Berkeley, CA · On-site

... automation (Terraform and Ansible), and backend services built primarily in Python/Flask. • Support data infrastructure including Postgres databases and Kafka streaming pipelines • Maintain ...

Robert Half

Infrastructure Engineer

Woodland Hills, CA · On-site

$71.25 - $82.50/hr

... automation practices to improve configuration management and expand infrastructure automation capabilities. • Track infrastructure and network health through proactive monitoring to help protect ...

Forhyre

Cloud Infrastructure Engineer

San Francisco, CA

$126K - $166K/yr

You are experienced with infrastructure automation tools - DataDog, Splunk, Jenkins, Artifactory. * You have experience working with containers (Kubernetes) and serverless applications (Lambda, SQS ...

Forhyre

Cloud Infrastructure Engineer

Sunnyvale, CA · On-site

$126K - $165K/yr

You are experienced with infrastructure automation tools - DataDog, Splunk, Jenkins, Artifactory. * You have experience working with containers (Kubernetes) and serverless applications (Lambda, SQS ...

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All JobsInfrastructure Automation JobsInfrastructure Automation Jobs in California

Infrastructure Automation information

See California salary details

$30.6K

$115.1K

$167.3K

How much do infrastructure automation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for infrastructure automation in California is $115,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Infrastructure Automation, and why are they important?

To thrive in Infrastructure Automation, you need expertise in scripting (such as Python or Bash), cloud platforms, configuration management, and a solid understanding of networking and systems administration, often backed by a degree in computer science or a related field. Familiarity with tools like Ansible, Terraform, Docker, Jenkins, and relevant certifications (e.g., AWS Certified DevOps Engineer) is commonly required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for excelling in this role. These skills and qualifications are crucial for efficiently designing, deploying, and managing scalable, reliable, and secure infrastructure in fast-paced technology environments.

What are some common challenges faced in an Infrastructure Automation role, and how can I overcome them?

Professionals in Infrastructure Automation often encounter challenges such as integrating new automation tools with legacy systems, managing configuration drift, and ensuring robust security in automated environments. Overcoming these hurdles typically involves staying up-to-date with automation frameworks, collaborating closely with development and operations teams, and implementing thorough testing and monitoring procedures. Building effective documentation and fostering a culture of continuous improvement also help address these challenges and support smoother automation processes.

What is infrastructure automation?

Infrastructure automation refers to the process of using technology to automatically manage, deploy, and maintain IT infrastructure, such as servers, networks, and storage. This approach eliminates the need for manual intervention, reducing human error and speeding up processes. Common tools for infrastructure automation include Ansible, Terraform, and Puppet. It enables organizations to scale efficiently, maintain consistency, and improve reliability in their IT environments.

What is the difference between Infrastructure Automation vs Cloud Engineer?

AspectInfrastructure AutomationCloud Engineer
Required CredentialsCertifications like AWS, Azure, or Google Cloud; scripting skillsCloud platform certifications; scripting and networking skills
Work EnvironmentData centers, on-premises infrastructure, hybrid environmentsCloud platforms, virtual environments, cloud services
Employer & Industry UsageIT departments, data centers, enterprise infrastructureCloud service providers, tech companies, startups
Search & Comparison IntentFocus on automation tools, scripting, infrastructure setupFocus on cloud deployment, architecture, and services

While both roles involve working with cloud and infrastructure technologies, Infrastructure Automation specialists focus on automating and managing physical and virtual infrastructure using scripting and automation tools. Cloud Engineers primarily design, deploy, and manage cloud-based solutions. Understanding these differences helps organizations find the right expertise for their infrastructure needs.

What are popular job titles related to Infrastructure Automation jobs in California? For Infrastructure Automation jobs in California, the most frequently searched job titles are:
What job categories do people searching Infrastructure Automation jobs in California look for? The top searched job categories for Infrastructure Automation jobs in California are:
Infrastructure Automation jobs near you
Infographic showing various Infrastructure Automation job openings in California as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $115,080 per year, or $55.3 per hour.
Infrastructure & Automation Engineer

Infrastructure & Automation Engineer

Specter

San Francisco, CA • On-site

Full-time

Posted 3 days ago

Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The RoleWe're hiring an Infrastructure & Automation Engineer to build the internal infrastructure that lets us develop, test, and deploy across our sensor fleet at speed. As we add hardware variants and scale the fleet, validating new hardware and pushing software to the field are becoming bottlenecks - this role exists to solve both with automation.
This is the proactive side of fleet operations: the test infrastructure, deploy orchestration, and tooling that prevent fires before they start. Early on, that means owning the release pipeline end-to-end - cutting dev and production releases, validating them against the dev fleet, and making rollouts automated, observable, and reversible.
Responsibilities:
Release & Fleet Validation Pipeline - Primary
  • Own how releases get cut, versioned, and promoted - dev vs. production - with automated regression gates.
  • Own the CI/CD plumbing for firmware and software builds: the pipelines, infrastructure, and results tracking every build and HW rev flows through.
  • Build fleet-side validation: bake periods on the dev fleet and observational checks (health metrics, regressions vs. baseline, tail latencies) that qualify a release for production.
  • Own the CI and orchestration rails that validation suites plug into - validation engineering owns the tests and hermetic environments (HIL, device farms, SIL).
  • Keep the internal dev and test fleet healthy and available.

Deploy & Fleet Orchestration
  • Own the deploy methodology across the fleet: make OTA / software rollouts automated, observable, and rollback-capable so a bad push is a non-event, not an incident.
  • Build the tooling and pre-deployment checks that catch problems before they reach devices.
  • Improve tracking and visibility for deploys and fleet state - what version is where, what succeeded, what needs attention.

Internal Tooling & Automation
  • Automate toil relentlessly - turn repetitive work like deployment tickets, debug handoffs, and fleet checks into code.
  • Build internal tooling that makes the rest of engineering faster, and maintain it as real software - versioned, tested, documented.
  • Instrument the systems you build so the team can make data-driven decisions about test and deploy reliability.

Qualifications
  • Strong scripting/programming for operational tooling - Python, Go, or Bash - and the instinct to automate rather than repeat.
  • Hands-on CI/CD experience: building and maintaining pipelines, not just consuming them (GitHub Actions, GitLab CI, Jenkins, or similar).
  • Solid Linux fundamentals - comfortable working over SSH in real environments, not just dev.
  • Infrastructure-as-code and config management familiarity (Terraform, Ansible, or equivalent).
  • Containerization experience (Docker; Kubernetes a plus).
  • Networking fundamentals: DNS, firewalls, VPNs, subnets, secure remote access.
  • Nice to have: experience across the hardware-software boundary - comfortable reasoning about firmware, embedded systems, and what's happening below the OS.
  • Cloud experience (AWS infrastructure, IAM, networking, observability tooling) is a plus for the deploy and tracking side.
  • Bias toward shipping: you'd rather land a working tool today and iterate than design the perfect system for three months.

Apply