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Infrastructure Automation Jobs in California (NOW HIRING)

$125K - $170K/yr

Coding · Create and maintain automation for virtual infrastructure lifecycle management -- provisioning, configuration, patching, compliance enforcement, and decommissioning of Hyper-V workloads ...

New

Senior Infrastructure Engineer

Canyon, CA

$115K - $157K/yr

Coding · Create and maintain automation for virtual infrastructure lifecycle management -- provisioning, configuration, patching, compliance enforcement, and decommissioning of Hyper-V workloads ...

Cloud Infrastructure Engineer

Sunnyvale, CA

$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 ...

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

Showing results 41-60

Infrastructure Automation information

See California salary details

$30.6K

$115.1K

$167.3K

How much do infrastructure automation jobs pay per year?

As of Aug 16, 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 job categories do people searching Infrastructure Automation jobs in California look for?

The top searched job categories for Infrastructure Automation jobs in California are:

Infographic showing various Infrastructure Automation job openings in California as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $115,080 per year, or $55.3 per hour.

Senior Infrastructure Engineer

PB consulting

On-site

$125K - $170K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Required Qualifications, Capabilities, and Skills

·       5+ years of hands-on experience in infrastructure engineering with demonstrated depth and breadth of knowledge across multiple domains (virtualization, storage, networking, Windows Server administration).

·       Strong expertise in Microsoft Hyper-V at enterprise scale: failover clustering, live migration, storage spaces / S2D, virtual networking (Hyper-V virtual switch, SET), and Windows Server administration.

·       Strong proficiency in PowerShell scripting for infrastructure automation, host configuration management, WMI-based inventory collection, and operational tooling.

·       Demonstrated ability to audit performance of complex infrastructure architecture across the full stack and to maintain architecture artifacts (design documents, decision records, diagrams).

·       Experience with storage performance analysis and optimization in virtualized environments — benchmarking, capacity planning, and storage policy design.

·       Ability to evaluate hardware BOMs for Hyper-V suitability — assessing processor/memory ratios, storage I/O characteristics, network throughput, and overcommit profiles.

·       Experience with infrastructure automation and configuration management tools (DSC, SCCM, Ansible, or equivalent) at data center scale.

·       Experience advocating for and implementing infrastructure automation — CI/CD pipelines, operational process improvement, and configuration-as-code — with a focus on scalability versus resource use.

·       Track record of providing stewardship to other engineers through technical guidance, design review, and documentation.

·       Degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.

Preferred Qualifications, Capabilities, and Skills

·       Experience with Windows Server Failover Clustering (WSFC) and Storage Spaces Direct (S2D) at enterprise scale.

·       Experience with additional hypervisors (VMware ESXi, KVM, etc.) — production experience with dual-hypervisor environments are a plus.

·       Familiarity with server hardware architecture (Intel Xeon, AMD EPYC, NVMe storage, GPU accelerators) sufficient to evaluate hardware proposals for Hyper-V workload suitability.

·       Experience with network fabric integration in virtualized environments — VLAN, SDN, load balancing, and network adapter teaming.

·       Working knowledge of C# / .NET for maintaining and extending infrastructure automation platforms.

·       Experience with Microsoft System Center (VMM, SCOM, SCCM) at enterprise scale.

·       Experience with security compliance remediation — Qualys vulnerability management, break management, and security baseline enforcement.

·       Experience with performance testing frameworks (elbencho, VMFleet, diskspd, fio or similar) for storage and compute validation.

·       Familiarity with using generative AI tools to accelerate engineering and research cycles.

Job Responsibilities

Architecture & Systems Design

·       Design and maintain Hyper-V cluster architectures including failover clustering, live migration, storage configuration, and network topology across global data center pools.

·       Evaluate hardware BOMs proposed by hardware engineering for Hyper-V performance characteristics — processor/memory ratios, storage throughput, network bandwidth, and overcommit suitability — and provide technical feedback to inform procurement decisions.

·       Audit performance of complex virtual infrastructure across the full stack — compute, storage, networking, and hypervisor layers — and maintain architecture artifacts (high-level design documents, decision records, diagrams) using firmwide tooling.

·       Develop and document reference architectures and best practices for Hyper-V cluster deployment, storage configuration, and workload placement.

Coding

·       Create and maintain automation for virtual infrastructure lifecycle management — provisioning, configuration, patching, compliance enforcement, and decommissioning of Hyper-V workloads — using PowerShell, WMI, and the team's .NET-based workload management platform.

·       Write PowerShell scripts for host configuration management, inventory collection, cluster operations, and firmware deployment across the Hyper-V fleet.

·       Maintain and extend the existing C# / .NET 8 workload management platform as needed — including the server-side orchestration API, distributed worker engine, and Windows client agent components.

·       Provide stewardship to other engineers in support of quality delivery — peer reviewing automation scripts, infrastructure designs, and technical documentation.

Automation & Continuous Delivery

·       Advocate for and implement infrastructure automation, identifying opportunities to automate, combine, or simplify operational processes with a focus on scalability versus resource use.

·       Develop and maintain automation for Hyper-V host configuration, cluster provisioning, rolling upgrades, and compliance enforcement using PowerShell DSC, scripts, and the team's workload management platform.

·       Support and evolve CI/CD pipelines for infrastructure automation tooling, including multi-environment deployment and automated testing.

Distributed Systems Design & Development

·       Plan and execute Hyper-V cluster upgrades, Windows Server rolling upgrades, and hypervisor patch rollouts across production environments with zero or minimal downtime.

·       Troubleshoot production issues across the virtual infrastructure stack — hypervisor, clustering, storage, and networking layers — using structured logging, event tracing, performance counters, and vendor diagnostic tools.

·       Consider all risks, potential environmental impacts, and FinOps implications when designing and implementing infrastructure changes.

Data Fluency

·       Identify appropriate data sources and apply appropriate methodologies when making data-based recommendations for capacity planning, performance optimization, and hardware procurement decisions.

·       Conduct storage and compute performance benchmarking using industry and internal tooling (e.g., elbencho, VMFleet, diskspd) to validate hardware configurations and inform deployment decisions.

·       Deliver against defined SLOs and SLAs; track and reduce events leading to errors or risks.

Cross-Functional

·       Collaborate with hardware engineering on server platform evaluation, providing Hyper-V-specific performance requirements and validation feedback.

·       Collaborate with vendor partners (Microsoft) on Hyper-V roadmap alignment, feature adoption, and escalation support.

·       Collaborate effectively across infrastructure engineering, operations, security, and capacity planning teams.

·       Leverage AI-assisted tooling for research, prototyping, and automation development to accelerate engineering cycles.

·       Contribute to team and organizational goals.