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Certification in at least one cloud platform such as AWS (e.g., AWS Certified Solutions Architect - Associate), Microsoft Azure (e.g., Azure Administrator Associate), or Google Cloud (e.g., Associate Cloud Engineer.
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DevOps Level 3 requires a bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 8+ years of experience as a DevOps engineer on programs and contracts of similar scope, type, and complexity.
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At least two (2) years of experience with Databricks - Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS - Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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Proficiency in database management systems (e.g., MySQL, PostgreSQL, MongoDB) and cloud platforms (e.g., AWS, Azure, Google Cloud). The ideal candidate will have extensive experience in application architecture, blockchain technology, biometric authentication, database management, cloud computing, and mobile application development.
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Observability domain knowledgeExperience operating containerized services (Kubernetes, Mesos/Marathon)Solid understanding of databases (RDS, MySQL, PostgreSQL)Experience with configuration management tooling (Ansible, Terraform, or Puppet.
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Incident, Problem Management, Service Management, Transition, Operations, Continual Service Improvement, SAFe, DevSecOps, Remedy (cloud & on-premise), ServiceNow, MS Office, Power.
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On different cloud platforms and additional knowledge or experience in the areas of IT and/or cloud technology architecture, service management and/or resiliency•RedHat certification in either OpenShift Administration or OpenShift Application Development•Must be a strong team player with solid interpersonal skills.
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DevSecOps, CI/CD pipelines, automation, security tools, vulnerability scanning, code analysis, infrastructure as code, Docker, Kubernetes, cloud security, incident response, threat modeling, security best practices, penetration testing, compliance, risk management, secure coding practices, Agile methodology, Jenkins, Git, Ansible, Nessus, Docker, Engineer, Maryland, Remote, Hybrid.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Preferred additional certifications: AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional, CompTIA Security+, MCSA. Technical skills: Agile (Scrum & Kanban), Active Directory, Red Hat Satellite, Chef, Ansible, Terraform, Nexus, GitHub, Jenkins, ServiceNow, Jira, Confluence, Graylog, AWS, GCP, Azure, VMware ESXi, PowerShell, Python, Ruby, bash, YAML, Groovy, Windows, Linux-RHEL, Linux-CentOS, and Linux-Ubuntu.
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Experience developing applications hosted with a cloud provider such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, or similar IaaS/PaaS providers. 5+ years of hands on experience coding in Java.
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The Windows Server and Cloud Engineer is responsible for primarily for Windows Server management and engineering, infrastructure support, hardware setup and configuration, antivirus, anti-spyware and SPAM systems maintenance, disaster recovery, preventative maintenance, end-user application, desktop support, installation, and troubleshooting for computer systems and networks.
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Experience with automated provisioning and configuration tools like Terraform, Cloud Formation, Chef, Puppet, Ansible, or similar technologies. Experience provisioning and managing resources within IaaS/Cloud infrastructures (e.g., Azure, AWS, Google Cloud Platform, etc.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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hands on cloud security configuration management azure devops jobs Title: senior devops engineer in Linthicum Heights, MD
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