onsite
Senior Staff AI/ML Engineer, Infrastructure
Senior Staff AI/ML Engineer, Infrastructure
As a Senior Staff AI/ML Engineer, Infrastructure, you will be responsible for designing and implementing AI/ML-powered solutions for various infrastructure use cases across multi-cloud environments. This includes building AI-driven monitoring systems, developing automated incident response workflows, and integrating AI tooling into CI/CD pipelines. You will also contribute to Generative AI solutions for infrastructure automation and collaborate on the overall infrastructure AI strategy.
About the role
Responsibilities
- Design and implement AI/ML-powered solutions for infrastructure use cases, including predictive autoscaling, anomaly detection, intelligent cost optimization, and automated remediation across GCP and multi-cloud environments
- Build and maintain AI-driven monitoring and observability systems that correlate logs, metrics, and traces to surface root causes, predict bottlenecks, and reduce mean time to resolution (MTTR)
- Develop and operate automated incident response workflows using AI-powered playbooks that diagnose, contain, and resolve infrastructure issues with minimal manual intervention
- Integrate AI tooling into CI/CD pipelines to improve deployment reliability, automate test prediction, score release health, and support rollback automation
- Contribute to the development of internal AI agents and virtual assistants integrated into developer workflows (Slack, IDEs, Confluence) — enabling self-service for provisioning, troubleshooting, and infrastructure guidance
- Implement AI/ML-based anomaly detection and automated vulnerability management workflows to enhance the security posture of Xsolla's infrastructure
- Prototype and productionize Generative AI solutions for infrastructure automation, including auto-generation of Terraform/Puppet modules, IaC configurations, runbooks, and change documentation
- Collaborate with senior engineers and leadership to evolve and execute the infrastructure AI strategy across its implementation phases
- Maintain clear documentation of AI tools, integrations, and automated workflows; share knowledge and best practices across the team
Skills
AiMLGCPCI/CDTerraformPuppetIacGenerative AiSlackIDEsConfluence