AI Infrastructure Engineer

We are seeking a hands-on and forward-thinking AI Infrastructure Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration.

Requirements

• 5–7 years of experience in infrastructure engineering, DevOps, SRE, or a related field
• Hands-on experience with GCP (priority) and/or AWS; solid understanding of cloud resource management, scaling, and cost structures
• Practical experience building or integrating AI/ML-powered tools in an operational context (anomaly detection, predictive models, LLM-based automation, or similar)
• Experience with infrastructure-as-code tools — Terraform, Puppet, Ansible, or equivalent
• Proficiency in Python for scripting, automation, and AI/ML integration; Bash or Go a plus
• Working knowledge of Kubernetes and container orchestration in production environments
• Familiarity with observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog, or similar)
• Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering for operational use cases
• Strong problem-solving mindset with a bias toward automation and eliminating toil
• Fluent in English (written and verbal)

Benefits

• medical, dental, and vision
• PTO
• personalized career roadmap for each employee
• training and educational opportunities