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DevOps | United States America (US)
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Job Title: DevOps Engineer

Location: Remote

About Us: VoDesk.ai is an AI-based call center focused on delivering scalable, reliable communication solutions.

Key Responsibilities:

Design, implement, and manage scalable infrastructure on GCP and AWS.

Ensure high availability, performance, and security of cloud-based applications, adhering to compliance requirements.

Monitor system performance and optimize resources for cost efficiency.

Implement CI/CD pipelines for seamless deployment and updates.

Integrate MLOps practices to streamline ML model deployment and operations.

Plan and implement disaster recovery and backup strategies to ensure business continuity.

Conduct load testing and system optimization for high traffic scenarios.


Required Skills:

Proven experience with GCP and AWS cloud platforms.

Strong knowledge of Kubernetes and container orchestration.

Experience in setting up monitoring, logging, and security best practices.

Expert in automation and infrastructure as code (e.g., Terraform, Ansible).

Knowledge of MLOps and ML model deployment practices.

Understanding of security, compliance, disaster recovery, and load testing.


Contact: [email protected]

Job Title: DevOps Engineer

Location: Remote

About Us: VoDesk.ai is an AI-based call center focused on delivering scalable, reliable communication solutions.

Key Responsibilities:

Design, implement, and manage scalable infrastructure on GCP and AWS.

Ensure high availability, performance, and security of cloud-based applications, adhering to compliance requirements.

Monitor system performance and optimize resources for cost efficiency.

Implement CI/CD pipelines for seamless deployment and updates.

Integrate MLOps practices to streamline ML model deployment and operations.

Plan and implement disaster recovery and backup strategies to ensure business continuity.

Conduct load testing and system optimization for high traffic scenarios.


Required Skills:

Proven experience with GCP and AWS cloud platforms.

Strong knowledge of Kubernetes and container orchestration.

Experience in setting up monitoring, logging, and security best practices.

Expert in automation and infrastructure as code (e.g., Terraform, Ansible).

Knowledge of MLOps and ML model deployment practices.

Understanding of security, compliance, disaster recovery, and load testing.


Contact: [email protected]


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DevOps




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