201 - 500 employees

Founded 2012

Skywind Group is a leading provider of online gaming software solutions, specializing in the development of slot games, live casino offerings, and various engagement tools. Their portfolio includes innovative products such as Megaways™, branded games, jackpots, and region-specific top titles. Skywind combines industry expertise with cutting-edge technology, including a deep learning engine, to deliver an exceptional gaming experience. Licensed and regulated in multiple jurisdictions, Skywind Group fosters a team of creative thinkers dedicated to shaping the future of the gaming industry.

DevOps Engineer

🔥 4 hours ago

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201 - 500 employees

Founded 2012

📋 Description

• Administer various Linux systems and optimize performance • Manage cloud and on-premises infrastructure using Terraform for automated provisioning • Build and maintain deployment pipelines using Jenkins • Deploy and manage containerized applications using Kubernetes, Helm & ArgoCD • Automate system configuration using Ansible and Bash & Python scripts • Implement monitoring with Prometheus, Grafana, and centralized logging solutions • Participate in on-call rotation

🎯 Requirements

• Strong understanding and hands-on experience with Linux OS (Ubuntu/Debian preferred), including package management, user permissions, kernel tuning, and system optimization • Proficiency with Git (branching strategies, merging, pull requests) • Practical experience with at least one of: Bash, Python, or Go for automation and infrastructure management tasks • Experience with Jenkins (preferred) or other tools (TeamCity, GitLab, GitHub Actions, CircleCI) for building and maintaining automated deployment pipelines (CI/CD) • Hands-on experience with Ansible (preferred), Chef, or Puppet for system configuration and management automation • Experience with Terraform (preferred), OpenTofu, or CloudFormation for infrastructure provisioning and management (IaC) • Implementation and maintenance of Prometheus, Grafana, AlertManager for monitoring and alerting and optionally Zabbix for legacy system • Experience with ELK (Elasticsearch, Logstash, Kibana) or EFK (Elasticsearch, Fluentd, Kibana) stacks for centralized logging • Experience with at least one major cloud provider (GCP preferred, AWS or Azure acceptable) including VPC management, S3/storage buckets, EC2/compute instances, and managed Kubernetes services • Experience with virtualization solutions such as VMware, KVM, or oVirt • Hands-on experience with Docker/Podman, Dockerfile creation, and container lifecycle management • Kubernetes experience including kubeadm deployments and managed solutions for container orchestration and scaling

🏖️ Benefits