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Experience in building software within the Azure cloud environment. Familiar working with workflow management tools (i.e. Azure DevOps, Jira, etc) Experience working with JIRA, Azure DevOps.
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The Lead Network Cloud Engineer will be responsible for designing and implementing deployments that span Visa’s private data center and public cloud environments with an emphasis on infrastructure as code network connectivity enablement for Visa’s Amazon Web Services, Google Cloud and Microsoft Azure public cloud presence.
$201,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Cloud Service Providers (AWS, Azure) and cloud architecture, design, and implementation - DevSecOps or DevOps experience. Advanced experience with AWS / Azure cloud deployment and management tools.
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One of the certifications (Associate /Professional level) AWS Solution Architect / SysOps / DevOps Engineer or Microsoft Azure or Google Cloud. The Cloud Solutions Architect will be part of Digital Financial S ervices team and bring demonstrated experience with architecture, design and engineering of technology modernization, cloud adoption, DevSecOps and digital solutions development using AWS or Azure or, Google cloud platforms.
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Understanding of Hybrid Identities, Azure Active Directory Connector (AADC)/ Entra Connect and/or other Identity Management or synchronization technologies like Microsoft Identity Manager (MIM), Okta, etc.
$172,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Familiarity with cloud computing and associated service providers such as Amazon Web Services (AWS) and Microsoft Azure. Familiarity with microservices architecture, containerization, and container orchestration software (e.g., Docker, CRI-O, Docker Swarm, Kubernetes, Marathon.
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Experience developing using cloud infrastructure (e.g., AWS, Azure) using containers and orchestration (e.g., Docker, Kubernetes), managed using infrastructure as code (e.g., Terraform, Ansible) Division of duties would be 90% remote with 10% possibility of being on-site.
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Familiarity with public, private, and hybrid cloud architectures, as well as expertise in crafting cloud-native solutions on one or more of the following platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP), or IBM.
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2+ years’ experience with cloud computing (AWS, Microsoft Azure, Google Cloud). At least 4 years of experience in software engineering (Internship experience does not apply) 5+ years of experience in at least one of the following: JavaScript, React, Angular, NodeJS, TypeScript, or Java.
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Develop and maintain automated deployment scripts and pipelines using CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps. Support the automation of build, test, and deployment processes to improve efficiency and reliability – including troubleshooting issues in the deployment pipelines.
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The CSTE EE function is actively seeking a Principal Product Manager, Engineering Excellence for Cybersecurity, Privacy, Resiliency, and Responsible AI. The ideal candidate will have proven experience with MS Azure, software, and quality engineering disciplines.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Kubernetes, Ansible, RabbitMQ, Kafka, Prometheus, Grafana, Docker, Microsoft Azure, Gitlab, and VMware. Kubernetes, Ansible, RabbitMQ, Kafka, Prometheus, Grafana, Docker, Microsoft Azure, Gitlab, and VMware.
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Experience working with DevOps CI/CD related technologies (Azure DevOPs, Git, Jenkins, Puppet, Docker, Confluence, Sonar Lint, and Junit. This role designs, develops, and implements a Cloud-based Master Data Management (MDM) architecture that software development teams can leverage to integrate with their services.
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Experience working with cloud technologies (Docker, Kubernetes); Azure / AWS / GCP / OpenShift infrastructure experience. Job Description: As a Data Analytics Engineer, you will: Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced Insider Threat program.
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azure job Title: software Company: Crowdstrike in Reston, VA
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