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Enterprise Architecture 4 o Technical expertise: Enterprise Architect with expertise in IT Cloud infrastructure utilizing IaaS, SaaS, PaaS architectures, as well as development, testing, and ongoing support/maintenance Implementation of multiple AWS and Azure PoC’s Optimization of the Cloud using DevOps tools like Chef, Terraform, Hadoop, and Azure DevOps.
$70 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Sub con hiring Role : DevOps Solution Architect/ Tech Architect Years of Experience : 10 Plus Industry : Oil & Gas Applications/ Tools : o Azure, Cloud, Azure Functions, Azure SQL, Azure DevOps, GitHub, Microservices and App services, o NET.
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Experience with SWCM tools (Microsoft Azure DevOps Server (ADS) - Git, BitBucket, IBM Rational Team Concert (RTC), and/or IBM Rational ClearCase, Synergy, Jenkins, Artifactory. Additionally, SWCM is responsible for administration and user access for Change and Configuration Management toolsets (i.e. Atlassian Jira, Microsoft Azure DevOps Server (ADS), Git, etc.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. Oracle Fusion Cloud HCM Cloud Developer. Sr. Oracle Fusion HCM Cloud Developer.
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Proficient use of diagraming tools (i.e., Visio, Lucid), project management tools (i.e. MS Project), and product management tools (Lucid, Miro, Mural, Azure DevOps, Confluence, Jira, etc.
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Certification in the following technologies: Cloud, Networking, Security, cloud-native application architecture (i.e., containers, microservices, API management), modern software development techniques like DevOps and CI/CD tool chains (i.e., Jenkins, Spinnaker, Azure developer services, GitHub) and container orchestration systems (i.e., Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub.
$129,200 - $248,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineering Technical Lead, you will be responsible for leading a team of data engineers in designing, building, and maintaining data pipelines and data processing systems using various technologies such as Azure, Spark SQL, SQL Server, Azure Data Factory, Azure Synapse, Azure Databricks, Dimensional Modeling, Agile, Azure DevOps, and DataOps. You will provide technical guidance, drive recommended practices, and ensure the successful delivery of data engineering projects.
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The ability to play a key role and lead across all initiatives and tasks involved in data management – from data ingestion using Azure Data Factory pipelines, data integration using stored procedures and python scripts, data quality monitoring, Azure devops code management and Azure cloud administration, is critical for the success of this role.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong experience in CI tools Jenkins/Azure DevOps or equivalent, Jenkins shared library development is a must. Experience on DevOps tools chain like GitHub, Jenkins, SonarQube, blaze meter and Deployment Tools, Terraform and chef.
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Experience with Agile and DevOps-Automation Anywhere certification is a big plusFUTURE RESPONSIBILITIES:-Identify opportunities for improvement in existing process and automate the process using Automation Anywhere RPA software.
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Knowledge and hands-on experience with as many of the following technologies as possible: C#, Power BI, PowerApps, Ansible, Python, Java, Azure, APIs, RESTful web services, databases, SQL, html, CSS, JavaScript, SAML, OAUTH , Visual Studio, Git, GitHub, Azure DevOps boards and pipelines, vendor/SaaS software management.
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Expertise in CI/CD tools such as Jenkins, Azure DevOps, Github Actions, and Git for version control. Advanced understanding of software security architecture fundamentals is required (Infrastructure, Azure, AWS, Operating Systems, Virtualization, Networking Concepts, Commands and Scripting, Network Security, Operational Security, Threats, Host Security, Access Control, Cryptography, etc.
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Technology specific certifications around VMware, Amazon Web Services, Microsoft Azure, MCSA/MCSE, Cisco, SAP, etc. · Certifications including but not limited to disciplines such as architecture (e.g., TOGAF), application life cycle management (e.g., PMP, Agile Scrum/Product Owner, SAFe, DevOps), service management (e.g., ITIL) are a plus.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
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Implementation, maintenance, and documentation of backup and recovery systems within Azure, AWS, and OCI.Engages in and supports DevOps practices for infrastructure and security management.
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azure devops jobs Title: web developer in Houston, TX
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