Intermediate Site Reliability Engineer (AIOps)

TL;DR

Intermediate Site Reliability Engineer (AIOps): Design and implement AI-powered solutions for observability, incident response, and cloud-native platform optimization with an accent on ML-based anomaly detection, generative AI automation, and predictive reliability. Focus on building self-healing systems, time-series forecasting, and fault-tolerant infrastructure using AI agents and orchestration.

Location: Hybrid in Toronto, Ontario; must reside within commutable distance to Mississauga or Salt Lake City office. In-office events required including weekly/bi-weekly/monthly team events.

Salary: CAD $115,000–$128,000 + bonus + benefits

Company

Leading health tech SaaS platform serving 30,000+ long-term and post-acute care providers with AI-accelerated innovation.

What you will do

• Build ML-based anomaly detection, pattern recognition, and smart telemetry enhancement for AI-driven observability.
• Develop event-driven workflows, self-healing systems, and automate incident response using generative AI and agent orchestration.
• Implement time-series forecasting, predictive modeling, AI-powered autoscaling, and cost-aware resource allocation.
• Engineer scalable, fault-tolerant cloud-native systems and participate in on-call rotations for critical incident response.
• Integrate APIs for data exchange and run AIOps workshops to enable teams with AI maturity models and responsible AI practices.

Requirements

• 5+ years in software engineering with SRE principles and AI/ML in production environments.
• Strong debugging, problem-solving, and system design skills; passion for automation and operational excellence.
• Languages: Python, Java, Bash, Terraform.
• Platforms: Azure, Kubernetes, Docker.
• Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions, Jenkins, ArgoCD, Spinnaker; Databases: SQL Server, PostgreSQL, MySQL.
• ML/AI: MCP framework, AI agents, Vector store, LangChain, RAG.

Nice to have

• Experience with AIOps platforms.
• Contributions to open-source or AI communities.
• Familiarity with Responsible AI frameworks.
• Participation in AI hackathons or conferences.

Culture & Benefits

• Benefits from Day 1 including retirement plan matching, flexible PTO, wellness programs.
• Parental & caregiver leaves, fertility & adoption support, continuous development program.
• Employee Assistance Program, allyship and inclusion communities, employee recognition.
• Flexibility, growth opportunities, and meaningful work in a founder-led, privately held company.