Senior Cloud Engineer

Public Storage•Frisco, TX
•Hybrid

About The Position

Designs, implements, and manages enterprise cloud infrastructure and services, primarily within Google Cloud Platform (GCP). Ensures cloud and supporting Windows infrastructure is reliable, secure, scalable, cost-effective, and aligned with architecture and operational standards. Applies advanced technical judgment to evaluate design options, resolve complex issues, automate operations, and recommend improvements across cloud, container, networking, security, and infrastructure services. Partners with development, security, and IT teams and provides technical guidance, documentation, and project support for enterprise initiatives. The role designs, deploys, manages, and optimizes GCP infrastructure and core services; supports GKE environments and application deployment; contributes to cloud and infrastructure projects; and investigates complex cloud, server, networking, and platform incidents. It also administers Windows Server and Active Directory services, monitors infrastructure and cost using GCP tools and Datadog, and automates operations with infrastructure-as-code and related technologies. The position is primarily office-based in Frisco, Texas, with work in the office five days per week and up to three flexible remote days per month under company policy. Occasional work outside normal business hours, including weeknights and weekends, and scheduled on-call or escalation support may be required.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of education and relevant experience sufficient to successfully perform the essential functions of the job.
  • Minimum 5 years of relevant cloud infrastructure, systems engineering, or platform engineering experience, including at least 3 years working with Google Cloud Platform.
  • Minimum 5 years of hands-on experience with Google Kubernetes Engine (GKE) or comparable enterprise Kubernetes platforms.
  • Strong knowledge of GCP architecture and services, including Compute Engine, Cloud Storage, GKE, VPC, Cloud Load Balancing, Cloud CDN, BigQuery, Cloud Functions, Cloud Run, and Cloud Pub/Sub.
  • Strong knowledge of Windows Server, Active Directory, cloud networking, identity and access management, encryption, security controls, compliance requirements, backup, disaster recovery, and business continuity practices.
  • Ability to analyze ambiguous or complex technical issues, compare alternatives, assess risk and operational impact, and make or recommend sound architecture and troubleshooting decisions.
  • Proficiency with infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Datadog, or similar tools.
  • Knowledge of DevOps and DevSecOps practices, including integrating security and operational controls into automated delivery pipelines.
  • Strong project management, documentation, problem-solving, communication, and cross-functional collaboration skills; ability to manage milestones, communicate with stakeholders and management, and provide technical guidance.
  • Must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future; sponsorship for work authorization is not available.

Nice To Haves

  • Google Cloud Professional, Cloud Architect, Professional Data Engineer, or other relevant Google Cloud certification.
  • Datadog certification or demonstrated hands-on experience with Datadog monitoring and logging.
  • 8 years of progressively responsible cloud and infrastructure engineering experience in an enterprise environment.
  • 8 years of experience supporting Windows Server, Active Directory, cloud networking, security, automation, CI/CD, backup, and disaster recovery solutions.
  • Familiarity with GCP database services, including Cloud SQL, Spanner, AlloyDB, Bigtable, and BigQuery.

Responsibilities

  • Design, deploy, manage, and optimize GCP infrastructure and core services, including Compute Engine, Cloud Storage, VPC networks, load balancing, Cloud CDN, and related platform components.
  • Design and support Google Kubernetes Engine (GKE) environments and collaborate with development teams to integrate, deploy, and operate applications using reliable container and cloud architecture practices.
  • Lead or contribute to cloud and infrastructure projects, manage assigned milestones and stakeholder communications, maintain technical and operational documentation, and provide technical guidance and support to IT team members.
  • Investigate and resolve complex cloud, server, networking, and platform incidents; evaluate causes and recovery options, coordinate escalation when needed, and support backup, disaster recovery, and business continuity capabilities.
  • Design, administer, and troubleshoot Windows Server and Active Directory services supporting cloud and enterprise infrastructure, including integration, authentication, availability, and operational support.
  • Monitor cloud infrastructure, logging, capacity, performance, reliability, and cost using GCP tools and Datadog; analyze trends and exceptions and recommend or implement corrective and optimization actions.
  • Automate cloud and infrastructure operations using infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Jenkins, or similar technologies.
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