Cloud Engineer jobs in United States
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ExpertsHub.ai · 5 hours ago

Cloud Engineer

ExpertsHub.ai is seeking a Cloud Engineer with expertise in Azure DevOps and AI tools. The role involves designing, developing, and maintaining CI/CD pipelines while ensuring system reliability and security.

Computer Software

Responsibilities

Design, develop, and maintain CI/CD pipelines using Azure DevOps
Implement infrastructure as code using tools such as ARM templates, Bicep, or Terraform
Deploy and manage Azure cloud services (App Services, AKS, VMs, Functions, etc.)
Monitor and improve system reliability, performance, and security
Automate operational processes using scripting languages such as PowerShell or Python
Manage source control systems, branching strategies, and repository maintenance
Implement and maintain containerization (Docker) and orchestration (Kubernetes, Azure AKS)
Collaborate with development and QA teams to ensure consistent and reliable software releases
Configure and manage logging, monitoring, and alerting tools (Azure Monitor, Log Analytics, Application Insights)
Ensure compliance with security best practices and governance policies
Experience working with AI/ML services, including deployment, integration, and operationalization of AI solutions in Azure environments (e.g., Azure OpenAI, Cognitive Services, ML pipelines

Qualification

Azure DevOpsInfrastructure as CodeAI/ML servicesBankingFinance experienceAzure certificationsContainerizationAgile/ScrumScripting languagesDevSecOps tools

Required

9-11 years of experience required
Excellent Banking and finance domain experience in recent required
Design, develop, and maintain CI/CD pipelines using Azure DevOps
Implement infrastructure as code using tools such as ARM templates, Bicep, or Terraform
Deploy and manage Azure cloud services (App Services, AKS, VMs, Functions, etc.)
Monitor and improve system reliability, performance, and security
Automate operational processes using scripting languages such as PowerShell or Python
Manage source control systems, branching strategies, and repository maintenance
Implement and maintain containerization (Docker) and orchestration (Kubernetes, Azure AKS)
Collaborate with development and QA teams to ensure consistent and reliable software releases
Configure and manage logging, monitoring, and alerting tools (Azure Monitor, Log Analytics, Application Insights)
Ensure compliance with security best practices and governance policies
Experience working with AI/ML services, including deployment, integration, and operationalization of AI solutions in Azure environments (e.g., Azure OpenAI, Cognitive Services, ML pipelines

Preferred

Azure certifications (e.g., AZ-400: Azure DevOps Engineer Expert, AZ-104, AZ-305)
Experience with hybrid cloud environments
Familiarity with Agile/Scrum methodologies
Exposure to tools like SonarQube, Nexus, Artifactory, and other DevSecOps tools

Company

ExpertsHub.ai

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At ExpertsHub.ai, we bridge the gap between businesses and top-tier AI experts.

Funding

Current Stage
Early Stage
Company data provided by crunchbase