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Understanding of databases and cloud technologies such as AWS, GCP, Azure, Redshift, Hana, LLMs, GPT, Snowflake, DataBricks and more. Comfortable working in a cloud environment (AWS, GCP and/or Azure), leveraging the latest technologies and techniques to develop models at scale.
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Certifications in cloud services (AWS, Azure, GCP) and Kubernetes (CKA, CKAD). Stay abreast of new technologies and best practices in DevOps, cloud computing, and containerization. Typically requires a bachelor's degree in computer science, Information Technology, or a related field, with a minimum of 7-10 years of experience in DevOps, cloud infrastructure.
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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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Knowledge of DevOps practices, CI/CD pipelines, including tools like Azure DevOps or Git Actions. - Lead and mentor a team of MLOps Engineers to create a scalable MLOps and Analytics platform within a hybrid compute environment, including Kubernetes and Azure.
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The Cloud Cyber Security Analyst (Data Protection/DevOps) is responsible for providing services in support of data protection controls as part of the data protection monitoring services component of Elevance Health’s various programs that operate both on premises and in various cloud platforms.
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Strong level of knowledge in Microsoft Azure Entra ID, Azure Resources and Technologies, Azure Security, Azure DevOps Infrastructure, Microsoft Office 365, Exchange On-Premises, Exchange Online, Microsoft Teams, Windows System Administration, Disaster Recovery and Business Continuity architecture and deployment, System performance monitoring tools, Effective project management techniques.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Strong understanding of DevOps best practice and Infrastructure as Code (IAC) principles and experience with tools such as AWS CloudFormation, Terraform, or similar. Experience with Modern day data warehouse platforms like Snowflake, Databricks.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Develop and manage machine learning models in production environments on cloud platforms such as Azure, AWS, or GCP. Utilize a wide range of technologies, including Azure services, Python, microservices, Docker, CI/CD, Elastic Search, SQL, and NoSQL databases.
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Manage private hosted or public cloud desktops in virtual desktop platforms (VDI) including Citrix Virtual Desktop, Hyper-V, and Microsoft Azure. Expert knowledge of typical desktop applications and application packaging, (i.e., MS Office suite and Office 365, Endpoint Security (Crowdstrike preferred), PAM or EPM tools (CyberArk preferred), Remote Access Platforms (Palo Alto Global Protect), etc.
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Familiar with CI/CD pipelines, Version control (git/git lab/Azure DevOps). The Sr Systems Administrator should have experience in helping to develop and foster a DevOps culture, working with IAC, Azure cloud services, and networking.
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Microsoft Azure DevOps. We focus on contributing to PwC’s value proposition of “strategy led and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Exp w/ 2 or more of the following: Azure Cloud, Azure Data Factory, Azure Functions, Azure Storage Blob, Azure DevOps. Ability to develop using Microsoft Azure products (e.g. Data Factory, Functions, Databricks, Monitor, etc.
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Experience using DevOps platforms and tools (Azure DevOps, GitHub) Solid understanding of DevOps and SRE and experience implementing CI/CD, test automation, infrastructure as code (Terraform), metrics, and monitoring.
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Preferred : Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications. Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
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azure devops jobs Company: Raytheon in Houston, Amarillo, Texas
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