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Platform Reliability Engineer

Appnovation Technologies · Toronto

New
Senior 🇬🇧 English
AWS OpenTelemetry CloudWatch Datadog Splunk Grafana New Relic Python Go TypeScript FinOps Terraform AWS CDK

Job description

About the role

Appnovation is building an internal agent platform on AWS Bedrock AgentCore for a global life sciences client, working as a dedicated delivery pod with the client's engineers. As Platform Reliability Engineer you make the platform visible and dependable: you build OpenTelemetry instrumentation, observability integrations, tracing, SLOs, alerting and cost monitoring for token and compute spend. This is a named-team engagement, so the person proposed is the one who starts.

Key responsibilities

  • Build OpenTelemetry instrumentation standards for agents, tools and platform services, and make adoption easy for teams.
  • Connect AgentCore Observability and CloudWatch with the client's existing tools (e.g. Datadog, Splunk, Grafana).
  • Set up end-to-end tracing across agent steps, model calls, tool calls and multi-agent handoffs.
  • Define SLOs for latency, availability and error rates, and build useful, low-noise alerting.
  • Track token usage and compute spend by team, agent and environment, with dashboards, budgets and alerts for unexpected spikes.
  • Write runbooks, support incident response and run post-incident reviews that lead to real fixes.

Required profile

  • 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 building cost visibility and FinOps reporting on AWS (Cost Explorer, CUR, tagging strategies).
  • Clear communication, able to turn data into decisions for technical and non-technical audiences.
  • Prior consulting experience; life sciences industry experience preferred.

Required skills

  • OpenTelemetry (SDKs, collectors, exporters) and distributed tracing.
  • Amazon CloudWatch and at least one enterprise observability platform (Datadog, Splunk, Grafana, New Relic or similar).
  • Scripting and coding in Python, Go or TypeScript.
  • Preferred: LLM/agent monitoring, LLM observability tools (Langfuse, Arize, LangSmith), and IaC (Terraform or AWS CDK).

Questions fréquentes

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Source : ats:greenhouse

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Published 2 hours ago

Expires 1 month from now

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Appnovation Technologies

Toronto