As a Middle DevOps at Playa AI, your key responsibilities will include designing and managing scalable infrastructure on AWS, implementing and managing Infrastructure-as-Code solutions, automating CI/CD pipelines, and collaborating with various teams to enhance system reliability. You'll directly support the development and deployment processes for Python-based applications and utilize tools like Apache Airflow to optimize workflows.

Candidates applying for the Middle DevOps role at Playa AI should possess hands-on experience with AWS services, strong Python scripting skills for automation, and familiarity with tools such as GitLab CI/CD and Terraform. Additionally, experience with Apache Airflow for managing workflows and a good understanding of Docker or Kubernetes would be advantageous.

In the Middle DevOps role at Playa AI, you will work with a variety of technologies including AWS services like EC2 and S3, CI/CD pipelines using GitLab, Infrastructure-as-Code tools like Terraform, and container orchestration with Kubernetes. You'll also engage with monitoring tools such as Prometheus and Grafana to ensure high performance of systems.

Absolutely! Playa AI offers an education budget of $600 per year for professional development, including English courses, which demonstrates their commitment to fostering your growth and helping you enhance your technical skills in a vibrant, innovative environment.

The interview process for the Middle DevOps position at Playa AI includes three main stages: an initial recruiting interview lasting about 45 minutes, a technical interview focusing on MLOps skills for 60 minutes, and a cultural fit interview also for 60 minutes. They aim to carefully assess your fit for the role and the company culture.

When discussing your experience with AWS, focus on specific services you’ve managed, such as EC2, S3, and RDS. Highlight any projects where you designed scalable solutions or automated infrastructure management.

Explain your approach to utilizing tools like Terraform or AWS CloudFormation for IaC. Provide examples of how you've programmed infrastructure deployment to streamline processes and ensure consistency.

Discuss your experience with CI/CD tooling, particularly GitLab CI/CD. Explain methods such as automation testing, parallel execution, or using containerized environments to enhance build and deployment processes.

Describe your analytical approach to monitoring and identifying bottlenecks in data workflows. Mention tools you've used like Apache Airflow for managing and optimizing tasks and your experience with logging and monitoring solutions.

Share your experience in using Docker for containerization and how you’ve utilized Kubernetes for orchestration. Highlight specific examples of applications you’ve deployed and managed in these environments.

Discuss how you facilitate communication and processes between teams, perhaps by implementing processes like CI/CD that involve both developers and operations staff. Share examples of cross-team projects you've led or contributed to.

Be prepared to discuss specific challenges you’ve encountered, such as managing costs, scaling incidents, or security configurations. Focus on the steps you took to address these challenges, including any tools or strategies you employed.

Explain how you've configured, managed, and scaled workflows using Apache Airflow. Provide examples of specific DAGs you've created and how they improved task automation and data handling.

Share your understanding of security best practices in DevOps, including implementing secure code practices, monitoring for vulnerabilities, and ensuring compliance with standards like GDPR or HIPAA.

Articulate your interest in the specific role and company, focusing on Playa AI's mission and your passion for leveraging technology to enhance player engagement in the iGaming industry. Your genuine enthusiasm will set you apart.