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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
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מלאה
Required DevOps Engineer AI & Innovation Group
Job Id: 22185Why Join Us?
Join our AI & Innovation group as a DevOps Engineer and play a critical role in the infrastructure and deployment of cutting-edge AI-driven solutions.
As the owner of our cloud-based production environment for our flagship product, Infinity AI Copilot, you will ensure seamless operations, oversee infrastructure, CI/CD pipelines, and deployment strategies, ensuring robust, scalable, and reliable operations across Azure and AWS.
Key Responsibilities:
Infrastructure Management: Own and maintain the cloud-based infrastructure supporting Infinity AI Copilot, including managing EKS in AWS and related Azure environments.
CI/CD Pipelines: Develop, optimize, and manage CI/CD pipelines to ensure seamless and efficient deployments of AI and software solutions.
Database Administration: Manage and optimize a variety of database solutions, including relational databases, vector databases, and graph databases
Monitoring and Troubleshooting: Implement and maintain monitoring tools to ensure performance, reliability, and scalability of deployments.
Automation: Automate provisioning, deployment, and scaling processes using tools like Terraform and Kubernetes.
Collaboration: Partner with ML engineers, software developers, and data scientists to integrate machine learning workflows into production environments.
Security and Compliance: Enforce best practices in cloud security, ensuring compliance with industry standards and regulations.
Scaling: Monitor system resources and optimize configurations to enable efficient scaling to meet dynamic demands.
Job Id: 22185Why Join Us?
Join our AI & Innovation group as a DevOps Engineer and play a critical role in the infrastructure and deployment of cutting-edge AI-driven solutions.
As the owner of our cloud-based production environment for our flagship product, Infinity AI Copilot, you will ensure seamless operations, oversee infrastructure, CI/CD pipelines, and deployment strategies, ensuring robust, scalable, and reliable operations across Azure and AWS.
Key Responsibilities:
Infrastructure Management: Own and maintain the cloud-based infrastructure supporting Infinity AI Copilot, including managing EKS in AWS and related Azure environments.
CI/CD Pipelines: Develop, optimize, and manage CI/CD pipelines to ensure seamless and efficient deployments of AI and software solutions.
Database Administration: Manage and optimize a variety of database solutions, including relational databases, vector databases, and graph databases
Monitoring and Troubleshooting: Implement and maintain monitoring tools to ensure performance, reliability, and scalability of deployments.
Automation: Automate provisioning, deployment, and scaling processes using tools like Terraform and Kubernetes.
Collaboration: Partner with ML engineers, software developers, and data scientists to integrate machine learning workflows into production environments.
Security and Compliance: Enforce best practices in cloud security, ensuring compliance with industry standards and regulations.
Scaling: Monitor system resources and optimize configurations to enable efficient scaling to meet dynamic demands.
Requirements:
Experience: 4-5 years in a DevOps or related role, with experience managing large-scale cloud environments.
Cloud Expertise: Strong experience with AWS, with expertise in managing EKS and related cloud-native technologies.
Kubernetes & Containerization: Proficiency with Kubernetes, Docker, and Helm for deploying and managing containerized environments.
Database Skills: Hands-on experience managing diverse databases, including relational, vector, and graph database solutions.
Infrastructure as Code (IaC): Proficiency with Terraform, CloudFormation, or similar tools for managing cloud resources.
CI/CD Expertise: Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub Actions, or equivalent.
Monitoring Tools: Experience with monitoring and logging solutions such as Prometheus, Grafana, ELK Stack, or similar.
Scripting: Proficient in scripting languages like Python, Bash, or Groovy for task automation.
Security: Knowledge of implementing cloud security standards and maintaining compliance.
Advantages:
Familiarity with AI/ML deployment challenges and workflows.
Experience with multi-cloud or hybrid cloud strategies.
Background in managing high-performance, low-latency systems.
Experience: 4-5 years in a DevOps or related role, with experience managing large-scale cloud environments.
Cloud Expertise: Strong experience with AWS, with expertise in managing EKS and related cloud-native technologies.
Kubernetes & Containerization: Proficiency with Kubernetes, Docker, and Helm for deploying and managing containerized environments.
Database Skills: Hands-on experience managing diverse databases, including relational, vector, and graph database solutions.
Infrastructure as Code (IaC): Proficiency with Terraform, CloudFormation, or similar tools for managing cloud resources.
CI/CD Expertise: Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub Actions, or equivalent.
Monitoring Tools: Experience with monitoring and logging solutions such as Prometheus, Grafana, ELK Stack, or similar.
Scripting: Proficient in scripting languages like Python, Bash, or Groovy for task automation.
Security: Knowledge of implementing cloud security standards and maintaining compliance.
Advantages:
Familiarity with AI/ML deployment challenges and workflows.
Experience with multi-cloud or hybrid cloud strategies.
Background in managing high-performance, low-latency systems.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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