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AI Engineer (Infrastructure team)

2 days, 19 hours ago
Canada
Full-time
Senior
AI Engineer
Software Development
AWS Bash CI/CD Confluence Datadog GCP Generative AI Go Grafana Kubernetes LLM Machine Learning Prometheus Puppet Python Terraform
Apply Now
Xsolla

Xsolla

Xsolla is an international payment solution provider for online games, offering tools to launch, monetize, and scale games worldwide with local payment methods and fraud prevention.

Internet Software & Services
251-1K
Founded 2005
View All Jobs 90

Description

  • Design and implement AI/ML-powered infrastructure solutions for predictive autoscaling, anomaly detection, 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 identify root causes, predict bottlenecks, and reduce MTTR.
  • Develop automated incident response workflows using AI-powered playbooks to diagnose, contain, and resolve infrastructure issues with minimal manual intervention.
  • Integrate AI tools into CI/CD pipelines to improve deployment reliability, predict test outcomes, score release health, and support rollback automation.
  • Contribute to internal AI agents and virtual assistants embedded in developer workflows such as Slack, IDEs, and Confluence.
  • Implement AI/ML-based anomaly detection and automated vulnerability management workflows to strengthen infrastructure security.
  • Prototype and productionize generative AI solutions for infrastructure automation, including IaC generation, runbooks, and change documentation.
  • Collaborate with senior engineers and leadership to define and execute the infrastructure AI strategy across implementation phases.
  • Maintain clear documentation for AI tools, integrations, and automated workflows, and share best practices with the team.

Requirements

  • 5–7 years of experience in infrastructure engineering, DevOps, SRE, or a related field.
  • Hands-on experience with GCP, preferably, and/or AWS, with 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 such as Terraform, Puppet, Ansible, or equivalent.
  • Proficiency in Python for scripting, automation, and AI/ML integration; Bash or Go is a plus.
  • Working knowledge of Kubernetes and production container orchestration.
  • Familiarity with observability and monitoring stacks such as Prometheus, Grafana, ELK, Datadog, or similar.
  • Familiarity with LLM APIs such as OpenAI or Anthropic, and prompt engineering for operational use cases.
  • Strong problem-solving mindset with a bias toward automation and eliminating toil.
  • Fluent in English, both written and verbal.
  • Experience with AI workflow orchestration frameworks such as LangChain, LlamaIndex, n8n, or similar (nice to have).
  • Exposure to AIOps platforms such as Dynatrace, Datadog AI, Moogsoft, or BigPanda (nice to have).
  • Background in FinOps or AI-driven cloud cost optimization (nice to have).
  • Familiarity with vector databases such as Weaviate, Pinecone, or Qdrant (nice to have).
  • Experience with VMware or hybrid cloud environments (nice to have).
  • GCP and/or AWS cloud certifications (nice to have).
  • Prior experience in gaming, high-growth tech, or SaaS platform environments (nice to have).

Benefits

  • $120,000 - $160,000 annual salary.
  • Medical, dental, and vision coverage.
  • PTO.
  • Personalized career roadmap for each employee.
  • Training and educational opportunities for professional development.
  • A supportive environment focused on physical, mental, and emotional well-being.
  • An inclusive workplace committed to diversity and equal opportunity.

Interested in this position?

Apply directly on the company website

Apply Now

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