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Cloud Engineer United States, Phoenix Jobs

5 Job Offers

Staff Azure Cloud Engineer, Automation
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HCVT
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Until further notice
Cloud Security Engineer (GCP & Oracle)
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Technologent
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Security Engineer - Cloud Security Controls
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Location
United States, Pittsburgh, Strongsville, Dallas, Birmingham, Denver, Phoenix
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91000.00 - 185900.00 USD / Year
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PNC Financial Services
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Oracle Cloud Security Engineer
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Oracle Cloud Security Engineer needed in Phoenix, AZ to design and secure OCI environments. You will implement policy-as-code with Terraform and Sentinel, enforce cloud-native security controls, and automate infrastructure. Ideal for experts in IAM, VCN, and cloud governance seeking to build scal...
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Technologent
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Cloud Security Engineer
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Seeking a Cloud Security Engineer in Phoenix to lead enterprise security initiatives across Oracle Cloud Infrastructure (OCI) and SaaS platforms. You will assess cloud environments, identify risks, and implement security controls aligned with regulatory standards. Requires 7+ years in cloud secur...
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Technologent
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About the Cloud Engineer role

Embark on a high-demand career path by exploring Cloud Engineer jobs, a pivotal role at the heart of modern digital transformation. Cloud Engineers are the master architects and builders of the virtual infrastructure that powers today's businesses, from streaming services and e-commerce platforms to financial systems and AI applications. This profession involves designing, implementing, and managing an organization's cloud computing strategy, primarily leveraging public cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The core objective is to create scalable, resilient, and cost-efficient systems that enable innovation and operational agility.

A Cloud Engineer's typical responsibilities are diverse and multifaceted. They are primarily responsible for architecting and deploying cloud infrastructure, which includes virtual networks, storage accounts, and computing resources. A significant part of their day-to-day work involves leveraging Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation to automate the provisioning and management of resources, ensuring consistency and repeatability. They also design for security and compliance, implementing identity and access management policies, encryption, and network security controls to protect sensitive data. Furthermore, Cloud Engineers are instrumental in ensuring system reliability and performance. They set up monitoring, logging, and alerting systems to gain observability into the health of applications and infrastructure, often using tools like Prometheus or cloud-native services. They also manage containerized applications using Docker and orchestration platforms like Kubernetes, enabling seamless deployment and scaling. Collaboration is key, as they frequently work alongside development teams to foster DevOps practices, building and maintaining continuous integration and continuous deployment (CI/CD) pipelines.

To succeed in Cloud Engineer jobs, a specific skill set is required. Foundational knowledge of at least one major cloud provider is essential, including understanding their core services for compute, storage, networking, and databases. Proficiency in scripting languages like Python, PowerShell, or Go is crucial for automation tasks. A strong grasp of networking fundamentals, including TCP/IP, DNS, and firewalls, is non-negotiable. Equally important are soft skills such as problem-solving, analytical thinking, and clear communication, as engineers must diagnose complex issues and explain technical concepts to non-technical stakeholders. While a bachelor's degree in computer science or a related field is common, many professionals enter the field with relevant certifications and hands-on experience. As businesses continue to migrate to and innovate within the cloud, the demand for skilled Cloud Engineers remains robust, offering a dynamic and rewarding career with opportunities for continuous learning and specialization in areas like security, data engineering, or machine learning.