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Join a forward-thinking team focused on building and maintaining modern infrastructure for scalable, cloud-native applications. We are looking for a DevOps Engineer with a strong background in Kubernetes, Helm, and automation. This is a great opportunity to work with cutting-edge technologies in a collaborative environment, where your contributions will directly impact performance, availability, and deployment speed.
Job Responsibility:
Design, implement, and maintain scalable DevOps solutions using Kubernetes and Helm
Create and manage Helm charts for deployment of containerized services
Build, manage, and optimize CI/CD pipelines to ensure rapid and reliable delivery
Monitor system performance and availability using modern observability tools
Automate operational tasks and infrastructure management with scripting and IaC tools
Collaborate with development teams to support deployment and scalability needs
Maintain high availability and performance of production environments
Troubleshoot infrastructure and deployment-related issues
Ensure infrastructure security and compliance across all environments
Contribute to continuous improvement of processes and infrastructure practices
Requirements:
3+ years of experience in DevOps engineering with focus on Kubernetes and Helm
Proficiency in creating, deploying, and maintaining Helm charts for containerized applications
Experience building and maintaining CI/CD pipelines using Jenkins, GitLab CI, or similar tools
Solid knowledge of Linux systems including CLI, configuration, and process/file system management
Hands-on experience with reverse proxy/load balancers such as Apache, Nginx, HAProxy, or Varnish
Good understanding of cloud platforms like AWS, GCP, or Azure
Familiarity with infrastructure-as-code tools such as Terraform
Experience with Docker and container orchestration tools
Proficiency in scripting languages like Bash, Python, or similar
Experience with monitoring and observability tools (e.g., Prometheus, Grafana)
Knowledge of networking, security best practices, and performance tuning for cloud-native applications