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You will take part in the entire cycle of Cloud Platform engineering, CloudOps and development from architecture, hands-on implementation, documentation and support. Develop and implement cloud architecture best practices to optimize performance, cost, and security, with expertise in AWS, Azure, or Google Cloud Platform (GCP.
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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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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. As a Database Platform Reliability Engineer, you will help us deliver automation, feature enhancements and best practice security on our existing hybrid cloud platforms.
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Hands-on production experience with orchestration systems such as Airflow. Basic understanding of AWS or other cloud provider resources (S3) Hands-on production environment experience with distributed processing systems such as Spark.
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Cloud sysadmin operating skill (e.g., Azure, AWS) Server operating systems (e.g., Windows, Linux). Proven experience and proficiency with below compute technologies and related activities: Technology solutions: Dell and HPE server Cisco UCS VMWare vCenter Products Nutanix HPE Storage (MSA, Nimble) Storage Cashing Technology (Nasuni, Talon, Pandora) Object Storage (EMC ECS, Azure, AWS) Archive product (Komprise, HubStore, Enterprise Vault) Backup Product (Veeam, Networker, DataDomain, Avamar, NetBackup, Commvault) Server sysadmin or similar role with in-depth hardware knowledge.
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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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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others. Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
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Use your infrastructure and networking knowledge to maintain cloud-based infrastructure (predominantly on AWS) involving EC2, S3, RDS & VPC. Use configuration management tools (Ansible and Terraform) to build and maintain a hybrid infrastructure hosted both at colocation facilities and in the public cloud.
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Large scale implementation and migration experience of Data Center to Cloud Infrastructure automation through DevOps scripting (Ansible, Shell, Python, Ruby, PowerShell)· Hands on experience in terraform IaC deployments.
$51 - $64 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in building and deploying custom solutions on AWS, with experience in cloud services, infrastructure as code, and serverless computing. We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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AWS Certified Solutions Architect or AWS Certified Developer certification. Extensive experience with AWS services such as EC2, S3, RDS, Lambda, and CloudFormation. Strong proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like Angular, React, or Vue.js.
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Compliance and Governance: Knowledge of compliance standards such as GDPR, HIPAA, PCI DSS, and their implications on IAM practices in the cloud. IAM Solutions: Experience with IAM solutions and services provided by cloud providers (e.g., AWS Cloud IAM) as well as third-party IAM solutions.
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Skills: reference data management,system queries,powerapps,business requirements,azure adf,cloud,survivorship rules,enterprise,data quality management,verbal communication skills,powerbi,azure,master data management,data management,data validation,microsoft cloud tools,written communication skills,azure profisee,master data,mdm,azure databricks,management,communication.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horns future leaders.
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hands on aws cloud jobs Company: Slalom in Dallas, CO, Canada
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