Middle DevOps Engineer

Summary

Join toogeza, a Ukrainian recruiting company, in finding a Middle DevOps for PlayA, a remote, full-time position. PlayA AI is an iGaming company using AI to increase player engagement. The role involves designing, deploying, and managing scalable infrastructure on AWS. You will build and maintain CI/CD pipelines and automate processes. Collaboration with other teams is key to ensuring system reliability. The position offers a competitive benefits package including an education budget and medical insurance.

Requirements

• AWS Expertise: Hands-on experience with AWS services like EC2, S3, RDS, Lambda, ECS, EKS and networking (VPC, Security Groups, etc.)
• CI/CD: Experience designing and managing pipelines with GitLab CI/CD
• Scripting & Programming: Strong Python scripting skills for automation and data-related tasks
• Airflow: Experience configuring, managing, and scaling Apache Airflow workflows
• IaC: Proficiency with Infrastructure-as-Code tools like Terraform, Pulumi
• Monitoring: Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, AWS CloudWatch)

Responsibilities

• Design, deploy, and manage scalable infrastructure on AWS (EC2, S3, RDS, Lambda, etc.)
• Implement and manage Infrastructure-as-Code (IaC) using Terraform, Pulumi, or AWS CloudFormation
• Build and maintain CI/CD pipelines using GitLab CI/CD to streamline development and deployment workflows
• Automate testing, builds, and deployments for Python-based applications and data workflows
• Manage Dockerized applications and container orchestration with Kubernetes (K8s)
• Manage and optimize workflows and task automation using Apache Airflow
• Monitor and troubleshoot data pipelines to ensure high availability and performance
• Collaborate with Data Engineers, Developers, and QA to enhance system reliability
• Support Python developers with scalable solutions and debugging assistance

Preferred Qualifications

• Experience with Docker and Kubernetes (K8s) for containerization and orchestration
• Knowledge of data processing tools and frameworks (e.g. Spark)
• Familiarity with database technologies (e.g., PostgreSQL, DynamoDB)
• Understanding of data privacy and compliance standards (e.g., GDPR, HIPAA)

Benefits

• Education budget of $600 per year provided
• Professional English courses
• Medical Insurance