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

Transparent 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

📌 Platform Reliability Engineer (Montreal)
🏢 Appnovation
📍 Montreal