AI Infrastructure Engineer
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
ABOUT YOU
We are seeking a hands-on and forward-thinking AI Infrastructure Engineer to help build and operate the intelligent systems that power Xsollas 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 youre 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 wed love to hear from you.
ABOUT US
Xsolla 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 1500 game developers to reach more players and grow their businesses around the world.
For more information visit .
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 Xsollas 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:
- 57 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 organizations goals and individual growth
Note
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 were not just building a business; were cultivating a community that values creativity collaboration and the transformative power of play.
Required Experience:
IC
Key Skills
About Company
Find out how you can launch, monetize and scale your video games worldwide, with no upfront costs, using Xsolla's comprehensive suite of tools and services.
