Top 20 Azure Cloud Engineer jobs, Now Hiring

Hands on experience in accessing AWS Elastic Beanstalk using AWS Elastic Beanstalk command line interface to deploy and manage Java , . Detailed technical understanding of the OpenStack project ecosystem and open source hypervisor technologies; gained significant experience in assisting customers that are running into problems using OpenStack. Implemented Infrastructure automation through Ansible for auto-provisioning, code deployments, software installation and configuration updates. Dice’s predictive salary model is a proprietary machine-learning algorithm. Unlike many other salary tools that require a critical mass of reported salaries for a given combination of job title, location and experience, the Dice model can make accurate predictions on even uncommon combinations of job factors. The model does this by recognizing patterns in the more than 600,000 salary data points to infer how much each factor – job title, location, experience, education, and skills – will impact the salary.

• Experience with Continuous Integration and Continuous Deployment methodologies using Jenkins, Hudson, and Bamboo to implement the End-To-End automation.
• Created S3 buckets , configured buckets with permissions, logging, versioning , and tagging .
• Detailed technical understanding of the OpenStack project ecosystem and open source hypervisor technologies; gained significant experience in assisting customers that are running into problems using OpenStack.

Edureka Azure course enables you to effectively design cloud architect solutions using Microsoft services. The Azure training will help you develop the skills to design identity and governance solutions, data storage solutions, business continuity solutions, and infrastructure solutions. We are a global digital business services organization with a mission to improve the way people and companies work. Our Consulting, Delivery and Learning teams design and deliver transformational digital products and experiences that add value to our clients’ businesses and to their customers’ lives.

Join Our Team

Passionate about bringing ideas to market in the most impactful way, we help our clients place their customers at the heart of their business. Working with some of the world’s most established, successful brands, we know how to turn challenges into opportunities and real-world problems into smart products and solutions. Microsoft Azure is the largest public Cloud computing platform in the world. Azure is used by 95% of Fortune 500 companies as either a hybrid or fully cloud-based solution for their business information needs.

Ubstantial experience in infrastructure-as-code programming languages that support DevOps automation, including Terraform, ANSIBLE, ARM, and Bicep. Microsoft is a technology company that develops and supports software, services, and devices. Maintained build related scripts developed in ANT, Python, and Shell , modified build configuration files including Ant’s build.XML based on the new requirements.

Middle Azure Cloud Engineer

Consistently share best practices with team members and help create a knowledge base article to solve/workaround that issue. If you’re looking for a senior remote Azure engineer position, be prepared to manage an entire product development project.

Experience in web application design and development with Object Oriented technologies using Java / J2EE. Experience in creating Nagios Monitoring infrastructure and various Nagios plugins Script based on Perl and Python for checking the health of App servers and for monitoring loads. Experienced in using build tools like Maven, Ant, and Gradle for the building of deployable artifacts from source code and pushing them into the Nexus repository. Dice predicts salary ranges based on the job title, location, and skills listed in individual job descriptions. Our proprietary machine-learning algorithm uses more than 600,000 data points to make its predictions.

Salesforce CRM Masters Certification Program

Created Lambda Function in python to route the traffic to write Firehose and processed CloudWatch events via Lambda to firehose. Creating jobs as per request from the client and scheduling it accordingly.

azure cloud engineer in using ELK stack for network and server monitoring, storing the logs and visualizing them using Nginx. Experience with Continuous Integration and Continuous Deployment methodologies using Jenkins, Hudson, and Bamboo to implement the End-To-End automation. Experience with Scheduling, deploying, managing container replicas onto a node cluster using Kubernetes and in creating Kubernetes clusters work with frameworks running on the same cluster resources. Worked on various Azure services like Compute , Caching, Storage, SQL Azure, NoSQL, Network Services, Azure Active Directory, Scheduling, Auto scaling and PowerShell Automation. Experience troubleshooting and resolving problems in different environments.