This is a remote position.

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  Design, implement, and maintain scalable infrastructure for genai applications
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  Develop and manage ci/cd pipelines for infrastructure and business code deployments
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  Automate provisioning, configuration, and deployments using terraform and ansible
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  Monitor and enhance system performance, scalability, and security
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  Enforce compliance with it security policies and cloud governance frameworks
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  Integrate with various cloud services such as databricks, azure cognitive services, and sql server
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  Collaborate with data scientists, engineers, and development teams to streamline model deployment
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  Implement disaster recovery strategies, backup solutions, and high-availability architectures
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  Manage containerized applications with docker and kubernetes (aks, eks, gke, ecs)
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  Configure monitoring tools such as datadog, azure insights, and elastic stack to track system health

Requirements

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  At least five years of experience with azure (PREFFERED), aws, or gcp cloud platforms
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  Experience with kubernetes, container orchestration, and docker
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  Strong background in infrastructure as code (terraform, cloudformation, ansible, chef, puppet)
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  Hands-on expertise in ci/cd automation using azure devops, github actions, or jenkins
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  Familiarity with git-based repositories such as azure repos, bitbucket, and github
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  Experience with scripting languages such as python, bash, or powershell
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  Strong debugging skills using log management and monitoring tools
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  Knowledge of security frameworks such as sox, soc2, and cloud compliance best practices

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  Experience working in high-availability architectures using blue-green, canary, and rolling deployments
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  Familiarity with server virtualization, networking, and cloud-native storage solutions
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  Background as a developer or software engineer
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  Experience with regulatory frameworks and enterprise security standards

Benefits