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
Qualifications:
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)
Nice To Have:
Experience with AI workflow orchestration frameworks (LangChain, LlamaIndex, n8n, or similar)
Exposure to AIOps platforms (Dynatrace, Datadog AI, Moogsoft, BigPanda, or similar)
Background in FinOps or AI-driven cloud cost optimization
Familiarity with vector databases (Weaviate, Pinecone, Qdrant) for knowledge retrieval systems
Experience with VMware or hybrid cloud environments
GCP and/or AWS cloud certifications
Prior experience in gaming, high-growth tech, or SaaS platform environments
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth
Note
This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the AI Infrastructure Engineer, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact
[email protected].
