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. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support β helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management.
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 β 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
- vision
- PTO
- personalized career roadmap