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AI Engineer (Infrastructure team)
Xsolla
Montreal, CAN
Full Time
Senior
6 days ago
AI/MLGCPAWSTerraformPuppetAnsible
Free
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About the Role
Xsolla is seeking an AI Engineer to join the Infrastructure Team, focusing on building AI-driven solutions for cloud optimization, security, automation, and developer support.
Key Skills for This Role
AI/MLGCPAWSTerraformPuppetAnsible
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 MTTR.
- Develop and operate automated incident response workflows using AI powered playbooks that diagnose, contain, and resolve infrastructure issues.
- 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).
- Implement AI/ML based anomaly detection and automated vulnerability management workflows to enhance security posture.
- 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.
- Maintain clear documentation of AI tools, integrations, and automated workflows; share knowledge and best practices across the team.
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 — 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).
Full Job Posting
About You
- We are seeking a hands on and forward thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure.
- You will implement AI driven solutions across cloud optimization, security, automation, and developer support.
- The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration.
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 MTTR.
- Develop and operate automated incident response workflows using AI powered playbooks.
- 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).
- Implement AI/ML based anomaly detection and automated vulnerability management workflows to enhance security posture.
- 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.
- 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.
- 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.
Salary Range
- CAD 120,000 CAD 160,000 a year.
Benefits
- Medical, dental, and vision coverage.
- PTO and personalized career roadmap.
- Professional development through training and educational opportunities.
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