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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Experience you'll bring A minimum of 5+ years of hands-on experience in designing, implementing, and managing cloud infrastructure on Azure and AWS platforms. How you'll make an impactCloud Infrastructure Design and Implementation: Design and implement robust, scalable, and secure cloud infrastructure solutions on Azure and AWS platforms, adhering to industry best practices and company standards.
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Participate in designing, coding, unit testing, debugging, configuring, maintaining and documenting of high-quality Java applications using Spring Boot, Apache Camel, Spring Integration, Spring MVC, Angular, Oracle, PostgreSQL in on-prem and AWS cloud environments.
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Experience delivering solutions across multiple cloud-based solutions including Azure, and AWS, and deploying to iPaaS solutions such as MuleSoftExperience in the following tools and technologies: Atlassian Confluence, SonarQube, LucidChart, Ansible, Terraform, Kubernetes.
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Hands-on experience in cloud technologies (AWS, Google Cloud, Azure) related to data ingestion tools (both real-time and batch-based), CI/CD processes, cloud architecture understanding, and big data implementation.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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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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Hands-on experience planning, configuring, supporting, and optimizing core AWS services including EC2, EBS, S3, WAF, ELB, FSx, RDS, API Gateway, Lambda and CloudFront)Hands-on experience migrating data center applications to the cloud.
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3+ years of experience with Kafka and other similar services 1+ years of experience with public and local cloud architectures, such as AWS, Docker, Nutanix 1+ years of experience of inventory / warehouse management Work Conditions Remote environment Ability to travel less than 10% of the time.
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OWASP Top 10), threat modeling, and security architecture and design Hands on experience with designing, building, and operating services in AWS Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Experience or trainings in related disciplines.
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Hands-on experience with multiple cloud providers such as AWS, Azure, or Google Cloud Platform. This position is hands-on and crosses into the realm of a cloud engineer in that they will also have duties in the implementation and management of our cloud applications and infrastructure.
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I’m familiar with cloud technologies; bonus points if I’ve used AWS, GCP, Docker, Kubernetes, Ansible, or Terraform. Our suite of end-to-end foodservice technology solutions helps professionals across healthcare and aging services streamline their operations, save time, reduce food waste, and meet regulatory requirements, so they can focus on what matters most: improving the quality of patient and resident care.
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Experience with Streaming frameworks like Kafka , RabbitMQHands on experience with Cloud Platforms (AWS, GCP, or Azure)Experience in designing and implementing large-scale event-driven architecturesUnderstanding of data warehousing and data modeling techniquesExperience building and optimizing ‘big data’ data pipelines, architectures and data sets.
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Architect, lead, design, build, enhance and maintain services and integrations deployed on AWS cloud IoT platform. 3+ years of experience developing applications on AWS infrastructure.
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Experience in ORDS and Golden Gate MicroservicesExperience in Cloud Engineering including Azure or AWS or Oracle Experience in IaaS, PaaS, SaaS services, DaaS, and IaaS. Design/provision and manage Azure IaaS and PaaS services like Oracle, Postgress, Azure SQL server, Snowflake, Databricks.
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on aws cloud jobs Title: engineer in Dallas, MD, Germany
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