Platform Reliability Engineer

Join our dedicated delivery pod as a Platform Reliability Engineer, where you will build and run an internal agent platform on AWS Bedrock AgentCore for a global life sciences client. Your role will involve making the platform visible and dependable through instrumentation, observability integration, tracing, SLOs, alerting, and cost monitoring. You will also support incident readiness and post-incident reviews. The ideal candidate will have 6+ years of experience in SRE, platform reliability, or observability engineering, with strong hands-on AWS experience.

• Construire des normes d'instrumentation OpenTelemetry pour les agents, les outils et les services de la plateforme, et faciliter l'adoption par les équipes.
• Connecter l'observabilité d'AgentCore et CloudWatch avec les outils d'observabilité existants du client (par exemple, Datadog, Splunk, Grafana).
• Définir les SLOs pour la latence, la disponibilité et les taux d'erreur, et construire des alertes qui sont utiles et non bruyantes.

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