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AWS Cloud Practitioner Certification. We are looking for a Genesys Cloud Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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This role involves working as a part of a mature, cross functional, agile development team with generalized specializations in UX, UI, Mobile, Cloud Engineering (AWS), DevOps and QA. The ideal candidate should have deep experience working on professional level mobile applications with mature cloud-hosted backends.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). For Senior Data Engineer (III) Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Experience with KafkaKnowledge and use of Docker, Kubernetes, and cloud technologies (AWS, Azure, and GCP)Proficiency with JavaScript and/or TypeScriptComfort with front-end frameworks such as React, Angular, or VueExperience with network protocols (TCP/IP, DNS, BGP, etc)The successful applicant will be performing work in FedRAMP environments, and therefore, must be a U.S. Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee.
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2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar. 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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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum of 2 years (4 preferable) of experience as a Windows Server Engineer, with a focus on on-premise operations and cloud environments (Azure and AWS). Stay informed about industry trends and emerging technologies related to Windows Server, on-premise infrastructure, and Azure and AWS Cloud platforms.
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Your role as a Site Reliability Engineer II at Cox Automotive encompasses a range of critical responsibilities aimed at ensuring the reliability, quality, and performance of our AWS cloud-hosted applications.
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Design, build, deploy machine learning models and microservices on the Google Cloud Platform. We are seeking a Full-Stack Software Engineer (Google Vertex) to join our team and transform ford.com into a customer engagement platform with modern designs and best-in-class experience.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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We are in search of an adept cloud software engineer with a proven track record as a technical lead (product owner) for Pison Cloud on Google Cloud Platform (GCP). Proficiency with Kubernetes, Google Cloud Run (or similar), Google Cloud Functions (AWS Lambda or similar), and Docker are a must.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Experience with AWS cloud and implementations from a developer's perspectiveExperience working with containers, Docker, Kubernetes or other container schedulersFluency with relational databases or alternatively NoSQL databasesUnderstanding of DevOps as well as experience with CI/CD pipelinesFamiliar with the project tools: Jira, Confluence, Slack, MS Office, SharePoint, Smartsheet.
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Experience with AWS/Azure/GCP/OCI public cloud; development and architecture. Engineer and implement new technology solutions, on premise and in public cloud. What you need to have: Experience with Kubernetes as well as one or more of the following technologies: JFrog Artifactory, HashiCorp Vault, Rancher, Tigera Calico Enterprise, AWS EKS, Azure AKS. Skills in Apigee, Terraform, Crossplane, JavaScript, Node.js, AngularJS, GitHub, Azure DevOps, Python, Go, API development, CI/CD pipelines, Docker, Linux, Bash, Windows.
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