Additionalinformation

Additional Information

• Primarily office-based in Frisco, Texas, with extended periods of computer use. • Expected to work in the office five days per week, with up to three flexible remote days per month in accordance with company policy. • Requires occasional work outside normal business hours, including weeknights and weekends, to support maintenance, incidents, releases, or project activities. • May require participation in scheduled on-call or escalation support based on business needs.

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.

**Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.**

Companydescription

Company Description

Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.

We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.

We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.

Jobdescription

Job Description

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.

• Designs, deploys, manages, and optimizes GCP infrastructure and core services, including Compute Engine, Cloud Storage, VPC networks, load balancing, Cloud CDN, and related platform components, to meet availability, scalability, performance, and cost requirements.
• Designs and supports Google Kubernetes Engine (GKE) environments and collaborates with development teams to integrate, deploy, and operate applications using reliable container and cloud architecture practices.
• Leads or contributes to cloud and infrastructure projects, manages assigned milestones and stakeholder communications, maintains technical and operational documentation, and provides technical guidance and support to IT team members.
• Investigates and resolves complex cloud, server, networking, and platform incidents; evaluates possible causes and recovery options, coordinates escalation when needed, and supports backup, disaster recovery, and business continuity capabilities.
• Designs, administers, and troubleshoots Windows Server and Active Directory services that support cloud and enterprise infrastructure, including integration, authentication, availability, and operational support requirements.
• Monitors cloud infrastructure, logging, capacity, performance, reliability, and cost using GCP tools and Datadog; analyzes trends and exceptions and recommends or implements corrective and optimization actions.
• Automates cloud and infrastructure operations using infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Jenkins, or similar technologies to improve consistency, security, and operational efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field. • An equivalent combination of education and relevant experience sufficient to successfully perform the essential functions of the job. • Preferred: Google Cloud Professional, Cloud Architect, Professional Data Engineer, or other relevant Google Cloud certification. • Preferred: Datadog certification or demonstrated hands-on experience with Datadog monitoring and logging.
• 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. • Preferred 8 years of progressively responsible cloud and infrastructure engineering experience in an enterprise environment. • Preferred 8 years experience supporting Windows Server, Active Directory, cloud networking, security, automation, CI/CD, backup, and disaster recovery solutions.
• 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. • Familiarity with GCP database services, including Cloud SQL, Spanner, AlloyDB, Bigtable, and BigQuery. • 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.