דרושים » מחשבים ורשתות » public cloud architect- 2550

.Join Our Team as a IT Infrastructure & Cloud Specialis
Key Responsibilities:
Cloud Infrastructure Management: Administer and manage Azure cloud services, including compute, storage, networking, and identity management.
DevOps Integration: Collaborate with development teams to design, implement, and manage continuous integration and continuous delivery (CI/CD) pipelines, leveraging Azure DevOps and automation tools.
Configure, manage, and monitor Data Lakes, Data Warehouses, and big data pipelines.
Cloud Security & Compliance: Implement and manage security controls for cloud infrastructure, applications, and services to ensure the following of security best practices.
Automation: To streamline operational tasks and infrastructure deployment, develop and maintain automation scripts using PowerShell, ARM templates, or Azure DevOps Pipelines , Azure Workflows (Logic Apps)
Monitoring & Optimization: Monitor cloud resources, optimize performance, and ensure cost-effective cloud infrastructure management.
Infrastructure as Code: Implement and manage Infrastructure as Code (IaC) using tools like Terraform or Azure Resource Manager (ARM) templates.
Collaboration: Work closely with developers and other teams to identify opportunities for cloud-based solutions and improve current infrastructure.
Networking & VMware Management: Manage VMware environments and virtualized infrastructure. Oversee networking aspects, including virtual networks, VPNs, and network security, within Azure and on-prem environments.
Identity Management: Administer Active Directory (AD) and Entra ID (Azure Active Directory), ensuring proper integration, security, and synchronization between cloud and on-prem identity services.
Troubleshooting & Support: Provide technical support and troubleshooting for cloud-related issues, ensuring minimal downtime and disruption.
Documentation & Reporting: Maintain clear documentation of cloud infrastructure, automation processes, and configuration
API Management: Implement and manage Azure API Management (APIM) to expose and manage APIs securely and ensure smooth integration between internal and external services.
AI Infrastructure: Manage and optimize the deployment of Azure AI infrastructure services, including Azure Machine Learning and cognitive services, to support data-driven projects and AI-driven solutions.

We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments.
To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes
Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud
Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market
Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.