About YouWe are seeking a hands‑on and forward‑thinking AI 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 — helping us shift from manual and reactive operations to predictive, self‑optimizing infrastructure management.The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver.If you're passionate about using AI to transform how infrastructure is built and operated — and want to be part of a team that is driving that transformation at a global gaming company — we'd love to hear from you.About UsXsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500 game developers to reach more players and grow their businesses around the world.For more information, visit xsolla.Com.ResponsibilitiesDesign 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 environmentsBuild 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 interventionIntegrate AI tooling into CI/CD pipelines to improve deployment reliability, automate test prediction, score release health, and support rollback automationContribute 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 guidanceImplement AI/ML‑based anomaly detection and automated vulnerability management workflows to enhance the security posture of Xsolla's infrastructurePrototype and productionize Generative AI solutions for infrastructure automation, including auto‑generation of Terraform/Puppet modules, IaC configurations, runbooks, and change documentationCollaborate with senior engineers and leadership to evolve and execute the infrastructure AI strategy across its implementation phasesMaintain clear documentation of AI tools, integrations, and automated workflows; share knowledge and best practices across the teamQualifications5–7 years of experience in infrastructure engineering, DevOps, SRE, or a related fieldHands‑on experience with GCP (priority) and/or AWS; solid understanding of cloud resource management, scaling, and cost structuresPractical 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 equivalentProficiency in Python for scripting, automation,



and AI/ML integration; Bash or Go a plusWorking knowledge of Kubernetes and container orchestration in production environmentsFamiliarity 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 casesStrong problem‑solving mindset with a bias toward automation and eliminating toilFluent in English (written and verbal)Nice To HaveExperience 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 optimizationFamiliarity with vector databases (Weaviate, Pinecone, Qdrant) for knowledge retrieval systemsExperience with VMware or hybrid cloud environmentsGCP and/or AWS cloud certificationsPrior experience in gaming, high‑growth tech, or SaaS platform environments$120,000 - $160,000 a yearBenefitsWe 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 cultivatinga community that values creativity, collaboration, and the transformative power of play.Equal Employment Opportunity StatementXsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace 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.#J-18808-Ljbffr

📌 Ai Engineer (Infrastructure Team) - $120,000 - $160,000 A Year (Winnipeg)
🏢 Xsolla
📍 Winnipeg