Senior DevOps Engineer
Core
Build and maintain high-performance AI/ML infrastructure to train and deploy models impacting millions of players in real-time, while supporting internal IT functions across the group.
Role type
Senior DevOps Engineer (AI/ML Infrastructure)
Builds
Scalable data and ML platforms, CI/CD pipelines, and secure cloud environments for AI/ML initiatives.
Domain
Mobile gaming, AI/ML infrastructure, Cloud computing
Deliverable
production ML models | infrastructure
Required skills
Kubernetes operations, Terraform (IaC), AWS and GCP, CI/CD pipeline management, Cloud security (IAM/RBAC, secrets management), Observability (Prometheus, Grafana, Datadog), Python scripting
Preferred skills
Airflow, Trino, Spark, Kubeflow, ML Ops architectures, Agentic data-intensive systems
Technologies
Kubernetes, Terraform, AWS, Google Cloud, GitHub Actions, GitLab CI, ArgoCD, Jenkins, Prometheus, Grafana, Datadog, CloudWatch, Airflow, Trino, Spark, Kubeflow
Responsibilities
Maintain scalable data and ML platforms ensuring seamless model deployment from research to production; Provide reliable access to open source AI models and productivity tools; Implement monitoring and alerting tools to meet SLA/SLO requirements; Advocate for engineering best practices including IaC and cost-aware infrastructure decisions; Ensure standardized cross-studio access and security for data ingestion; Enable testing environments without disrupting production workflows; Track application usage and optimize resource allocation.
Seniority
Senior, hands-on IC
