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Experience leveraging Azure DevOps (ADO) or Jira for work item management and CI/CD automation, as well as Git for version control. Experience with Azure pipelines and yaml templatingIf location is in market, there may be expectations to maintain a hybrid work arrangementAbout Kodiak SolutionsThis is an exciting time to join our growing Kodiak Solutions team.
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Certifications in cloud technologies (i.e. AWS Certified Solution Architect, Azure Solutions Architect, Google Cloud Professional Architect) Strong experience with cloud platforms (AWS, Azure, Google Cloud.
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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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AWS, Azure, Google Cloud Platform); and their key technologies, including: Observability, AIOPs, APM; + Certification(s) from a leading cloud service provider (AWS, Azure, GCP) + Cloud Platforms (Amazon Web Services (AWS), Azure, GCP.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. This resource should have experience in Oracle HCM Cloud advanced tools such as OIC, HCM Extracts, Fast Formula, HDL, BI Publisher reports, OTBI reports, Redwood Page Composer, Page Configurator, REST APIs, SOAP, Webservices, Fast Formula, Oracle HCM Application Security.
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Experience with SharePoint Syntex / AI Builder, Snowflake, MLFlow, Forms Recognizer, Power Automate, Databricks, Azure SQL, Cognitive Services, and Azure ML. We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team.
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Experience with development tools such as Microsoft Visual Studio, Git and MS Azure DevOps or others (Jira, etc. Strong experience with DevOps and methodologies Ci/CD, Containerization, Configuration Management systems, etc) Two (2) years of experience with Cloud Platforms (MS Azure, AWS, Google Cloud) and understanding of cloud architecture.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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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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Experience integrating SailPoint with Active Directory, LDAP, Azure AD, O365, ServiceNow, SharePoint, Oracle, and JIRA etc. 5+ years of experience designing, architecting, implementing, operating, and maintaining access management solutions supporting SailPoint, Okta, Active Directory and Azure Active Directory.
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Infrastructure as Code (IaC): Use Terraform for Azure, GCP, OCI; Use AWS CDK for AWS infrastructure. Extensive experience in CI/CD pipeline creation, infrastructure automation, configuration management, containerization, and monitoring across multiple cloud platforms (AWS, Azure, GCP, OCI.
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Agile Methodology: Experience with agile development methodologies and tools for version control, such as Git, Jenkins, or Azure DevOps. Streaming Data: Experience creating streaming pipelines using technologies such as Kafka, Azure Event Hub, AWS Kinesis, etc.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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Proficiency with CI/CD tools: Jenkins, Azure DevOps, GitLab CI/CD, or equivalent. - Implement CI/CD pipelines to automate the software development lifecycle, using tools such as Jenkins, Azure DevOps, or GitLab CI/CD.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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azure job Company: Infojini in Austin, TX
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