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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Candidates must demonstrate a track record of success in consulting engagements, preferably in the realm of cloud and infrastructure solutions Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect) preferred.
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Role: Java Lead Location: Chicago, Illinois Knowledge/Skills Knowledge in Cloud Architecture (Azure, Google, AWS) to build resilient scalable and maintainable cloud based applications.
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Proficient in a Cloud stack (AWS, Google Cloud Platform, Azure) and event-streaming technologies (Kafka). KeepStock is in the middle of a digital transformation where it is shifting from an on-premise monolithic architecture to a cloud-based microservices architecture.
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Minimum of 4 years of experience in cloud security, with a strong background in cloud platforms (e.g., AWS, Azure, Google Cloud). Relevant certifications (e.g., Certified Security - Specialty, Azure Security Engineer, or Google Cloud Professional Security Engineer is a plus.
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Experience building and deploying serverless functions on AWS, Azure or Google Cloud Platform, or experience building Laravel applications on AWS Lambda using Bref. Strong knowledge of Node.js, JavaScript/TypeScript, PHP, Docker and utilization of AWS-based solutions.
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At least 3 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
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Java, Aws, microservices, springboot, Google Cloud Platform, api, domain driven development, automation, Sql, nosql, object-oriented design. Java, Aws, microservices, springboot, Google Cloud Platform, api, domain driven development, automation, Sql, nosql, object-oriented design.
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Experience with cloud platforms (e.g., Google Cloud Platform, AWS) and relational databases (e.g., MySQL, SQL Server). · Knowledge of data visualization tools and platforms (e.g., Google Analytics, Sigma.
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Minimum of two (2) years’ with cloud platforms such as Azure, AWS, or Google Cloud required. Experience with automation tools such as System Center Service Management Automation (SMA), Ansible, Puppet, or Chef strongly desired.
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5+ years of experience with cloud development and deployment principles using either AWS, Azure, or Google Cloud. The Health Care Benefits Delivery organization, within CVSH’s DDAT (Digital Data Analytics Technology) organization, is seeking a Chatbot Staff Engineer - Full Stack Developer to help realize the product features for a Conversational AI platform.
$284,280 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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Proficiency developing and deploying models in a Cloud environment such as AWS, Azure, or Google Cloud. Develop, optimize, validate, and deploy statistical and machine learning algorithms (e.g. GLM, Nave Bayes, time series, random forests, neural networks, clustering, NLP, GAN, LLM.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Cloud Solutions: Lead the design and implementation of scalable and resilient cloud architectures, leveraging platforms such as AWS, Azure, and Google Cloud. In-depth knowledge of cloud platforms such as AWS, Azure, and Google Cloud.
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