Yalo is seeking a Senior DevOps Engineer to design, implement, and manage scalable, reliable, and secure cloud infrastructure on Google Cloud Platform (GCP), with a focus on Kubernetes, Argo, Kafka, and cloud architecture. The ideal candidate will have experience in cost optimization and proficiency in Python, JavaScript, or other programming languages.

Responsibilities

Design, implement, and manage scalable, reliable, and secure cloud infrastructure on GCP.
Develop and maintain CI/CD pipelines using Argo to enable automated deployments.
Manage and optimize Kubernetes clusters for high availability and performance.
Architect and implement cloud solutions that meet business requirements and best practices.
Integrate and manage Kafka for real-time data processing.
Collaborate with development teams to ensure seamless integration and deployment of applications.
Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability and efficiency.
Implement cost optimization strategies to ensure efficient use of cloud resources and reduce expenses.
Promote DevOps practices and culture across the organization.
Work with cross-functional teams to drive architectural decisions and align with business goals.

Requirements

Proven experience as a DevOps Engineer or similar role.
Extensive experience with Kubernetes, GCP, Argo, cloud architecture, and Kafka.
Proficiency in Python, JavaScript, or other programming languages.
Strong understanding of CI/CD principles and best practices.
Experience in cost optimization and manag

About the role

Yalo is seeking a Senior DevOps Engineer to design, implement, and manage scalable, reliable, and secure cloud infrastructure on Google Cloud Platform (GCP), with a focus on Kubernetes, Argo, Kafka, and cloud architecture. The ideal candidate will have experience in cost optimization and proficiency in Python, JavaScript, or other programming languages.

Responsibilities

Design, implement, and manage scalable, reliable, and secure cloud infrastructure on GCP.
Develop and maintain CI/CD pipelines using Argo to enable automated deployments.
Manage and optimize Kubernetes clusters for high availability and performance.
Architect and implement cloud solutions that meet business requirements and best practices.
Integrate and manage Kafka for real-time data processing.
Collaborate with development teams to ensure seamless integration and deployment of applications.
Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability and efficiency.
Implement cost optimization strategies to ensure efficient use of cloud resources and reduce expenses.
Promote DevOps practices and culture across the organization.
Work with cross-functional teams to drive architectural decisions and align with business goals.