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Pacific Gas and Electric Company in Oakland, CA, seeks a Cloud Platform Engineer to design, build, configure, and support enterprise infrastructure across Linux, Unix, Windows, and cloud environments including AWS, Azure, and private clouds. The role emphasizes reliability, security, automation, and scalable operations.
The position uses infrastructure-as-code (Terraform) and CI/CD pipelines, with DevOps practices. It is hybrid, with some remote work and weekly in-office presence in Oakland, CA.
Job Category: Engineering / Science
Job Level: Individual Contributor
Business Unit: Technology & Security
Work Type: Hybrid
Job Location: Oakland
Technology& Security delivers secure, resilient, and scalable enterprise platforms that support critical business applications, infrastructure services, cloud operations, automation, and emerging technology enablement.
The Cloud Platform Engineer will design, build, configure, and support enterprise infrastructure platforms across Linux, Unix, Windows, and cloud-based operating environments. This role supports workloads across AWS, Microsoft Azure, and private cloud platforms such as Azure Local, with a focus on reliability, security, automation, and operational scalability.
The role combines systems administration, cloud engineering, infrastructure automation, and DevOps practices to provision, configure, patch, monitor, and maintain scalable compute, storage, network, and platform services. The engineer will use tools such as Azure DevOps, CI/CD pipelines, scripts, and infrastructure-as-code(Terraform) patterns to standardize deployments and improve operational consistency.
The ideal candidate has hands‑on experience with Linux and Windows administration, virtualization, containers, cloud-native services, monitoring tools, security patching, and performance optimization.
This role may also support physical server builds, hardware lifecycle activities, IBM logical partition environments, and related enterprise platform operations as business needs require.
This position also supports infrastructure used for machine learning and advanced analytics workloads, including environments for model training, testing, deployment, monitoring, and lifecycle automation.
This position is hybrid, working from your remote office and Oakland, CA once per week, or more, based on business needs or company requirements.
PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be between the minimum and midpoint listed below. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Bay Area Min: $102,000.00
Bay Area Mid: $132,000.00
Bay Area Max: $162,000.00
Minimum:
Desired: