Platform Reliability Engineer in Montréal

• In this role you make the platform visible and dependable. You'll build the OpenTelemetry instrumentation, observability integrations, tracing, SLOs, alerting, and cost monitoring for token and compute spend
• When an agent is slow, wrong or expensive, your work is how the team finds out and fixes it. This is a named-team engagement, so the person we propose is the person who starts
• Instrumentation: Build OpenTelemetry instrumentation standards for agents, tools and platform services, and make it easy for teams to adopt
• Observability Integration: Connect AgentCore Observability and CloudWatch with the client's existing observability tools (e.g., Datadog, Splunk, Grafana)
• Tracing: Set up end-to-end tracing across agent steps, model calls, tool calls and multi-agent handoffs so issues can be traced to their source
• SLOs and Alerting: Define SLOs for latency, availability and error rates, and build alerting that is useful and not noisy
• Cost Monitoring: Track token usage and compute spend by team, agent and environment, with dashboards, budgets and alerts for unexpected spikes
• Incident Readiness: Write runbooks, support incident response and run post-incident reviews that lead to real fixes

• Scripting and coding skills in Python, Go or TypeScript
• Clear communication and able to turn data into decisions for technical and non-technical audiences
• Experience building cost visibility and FinOps reporting on AWS (Cost Explorer, CUR, tagging strategies)
• Experience with Amazon CloudWatch and at least one enterprise observability platform (Datadog, Splunk, Grafana, New Relic or similar)
• Hands-on experience with OpenTelemetry (SDKs, collectors, exporters) and distributed tracing
• 6+ years in SRE, platform reliability or observability engineering, with strong hands-on AWS experience
• Experience defining and running SLOs, error budgets and alerting strategies
• Experience monitoring LLM or agent-based applications, including token usage, latency and quality signals
• Familiarity with LLM observability tools (e.g., Langfuse, Arize, LangSmith) or AgentCore Observability
• Prior experience and connections in the Life Sciences industry is preferred
• You have prior experience in consulting
• You want to know what's happening in a system before a user tells you
• You work well inside a client team and build trust quickly
• You treat cost as a reliability concern, not an afterthought
• You build alerts people trust and dashboards people actually open
• Experience in pharma, life sciences or another regulated industry
• Experience with infrastructure as code (Terraform or AWS CDK) for monitoring resources
• You stay calm in incidents and focus on learning afterward

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