DevOps-инженер( Playgendary )

Компания "Playgendary"

We are seeking an experienced DevOps Engineer to join our dynamic team. The ideal candidate will have a proven track record of building infrastructure from the ground up and managing both cloud and dedicated server environments. This role requires a deep understanding of Linux systems, Kubernetes, and the ability to create scalable, high-availability infrastructure solutions.

Key Responsibilities:

• Infrastructure Development: Design and build infrastructure from scratch that is scalable, flexible, and reliable.

• Monitoring & Logging: Implement comprehensive monitoring, logging, and alerting systems to maintain transparency and operational excellence.

• CI/CD Pipelines: Develop and maintain robust CI/CD pipelines, collaborating closely with developers to streamline code deployment and testing.

• Environment Management: Set up and maintain both production and testing environments, ensuring consistency and stability across all stages of deployment.

• Collaboration: Work closely with software development teams to understand their needs and ensure the infrastructure supports efficient software delivery.

Key Requirements:

• Infrastructure Expertise: Extensive experience in building and managing infrastructure from scratch, with a focus on scalability and flexibility.

• Linux Mastery: Strong background in Linux administration and optimization.

• Cloud & Dedicated Servers: Proficient in managing both cloud-based environments (e.g., AWS, Azure, GCP) and dedicated servers.

• Kubernetes: Hands-on experience with Kubernetes, including both managed services (e.g., EKS, GKE) and self-managed clusters. Proficient in scaling Kubernetes environments.

• Database & Queuing Systems: Experience with PostgreSQL, Redis, and Kafka in a production environment.

• IaC & CI/CD: Proficient with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and CI/CD practices.

• Monitoring & Logging Tools: Experience with tools like Prometheus, Grafana, ELK Stack, or similar for monitoring, metrics collection, and logging.

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