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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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5+ years of experience in a DevOps role or a related field Proven experience as a Cloud Operations Engineer or a similar role, with a focus on Microsoft Azure, Kubernetes, Micro Services, Office 365, and Citrix Cloud Proven experience with Microsoft Azure, including IaaS, PaaS, and SaaS offerings Experience with SDLC and rich experience with Deployment pipeline and release, Agile methodologies.
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Conduct hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI. Hands-on experience with Databricks and Azure , including implementation using Unity Catalog.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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Experience with at least one MPP database technology such as Azure SQL Datawarehouse, Redshift, Synapse or SnowFlake (coding is in Databricks) The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge and experience with CI/CD and DevOps tools such as BitBucket/GitHub/GitLab, Jenkins, Azure DevOps, Groovy, and Terraform. Knowledge and experience with Cloud Security Posture Management tools (Azure Policy, AWS Config, Prisma Cloud.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. As a Capital One Manager Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Proven expertise in optimizing CI/CD for streamlined Kubernetes deployment and configuration using GitOps and ArgoCD.Hands-on experience in public and/or private cloud environments, including OpenStack, Kubernetes, Azure, AWS, and GCP.Extensive experience in API, Microservices, network, and security architectures, incorporating design patterns.
$115,000 - $300,500Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As an IAM Senior Engineer, you will be supporting our internal team with their Enterprise and Cloud Cyber Risk needs, while specifically helping them address IAM. Also, you’ll assist them in navigating SailPoint/IGA solution with ServiceNow, integrating SailPoint with core systems like CyberArk, Azure AD, etc.
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The ideal candidate will possess a strong background in Data Center builds and management, VMware technologies, Azure, Active Directory, Exchange and SMTP relay, EMC storage, physical server technologies, and related Azure services.
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Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring.
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At least one (two preferred) certification in InfoSec and Cloud domains like Security+, CEH, MS Azure Security Engineer, MS Azure Administration, CCNA Security, CCSP, or any other similar InfoSec certification.
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azure job Title: sr software engineer Company: Crowdstrike
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