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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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Expert level understanding of AWS/GCP native networking services such as AWS Transit Gateway, GCP Shared VPC, AWS Route53, GCP Cloud DNS, etc. Description :This role is responsible for on-prem to cloud networking from taking part in technology assessments, configuration, deployments and life cycle management, as well as cloud management tooling, monitoring, and orchestration.
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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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Align with the DevOps AWS Architect on strategies and implementation plans. The role involves enhancing CI/CD pipelines, infrastructure automation, and overall DevOps practices across on-premise and AWS environments.
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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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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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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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Develop and optimize data storage solutions, including data warehousing, data lakes, and NoSQL databases on cloud platforms such as AWS, Azure, or Google Cloud. Experience with cloud platforms such as AWS, Azure, or Google Cloud.
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Company Introduction The RIS2.0 group is looking for an experienced QA automation engineer who enjoys collaborating with a mighty team of engineers, designers, and product visionaries in transforming our legacy applications into a cloud-based platform and innovating on the latest technology, creating awesome digital products that ease the work burden of our store employees and enhances shopping experience for our customers every day.
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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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Works closely with network engineer to establish secure edge network devices for both on-prem and cloud based networks (ie. · Familiar with GCP/AWS security groups/IAM, Nvidia/Mellonox IB and advanced Juniper router/firewall experience, Google interconnect and Cloud router knowledge, switch/router/FW configurations, VPN's, MGMT network architectures.
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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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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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on aws cloud jobs Title: engineer in Irving, TX
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