Platform Reliability Engineer

Appnovation; Austin (TX); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Appnovation in Austin, TX, is assembling a dedicated delivery pod to build and run an internal agent platform on AWS Bedrock AgentCore for a global life sciences client.

You will make the platform observable and dependable by implementing OpenTelemetry instrumentation, CloudWatch integrations, tracing, SLOs, alerting, and cost visibility across teams and environments.

Formación

• 6+ years in SRE, platform reliability or observability engineering.
• Hands-on with OpenTelemetry and distributed tracing.
• Experience with CloudWatch and at least one observability platform (Datadog, Splunk, Grafana, New Relic).
• Experience building cost visibility and FinOps reporting on AWS.
• Clear communication and able to turn data into decisions for technical and non-technical audiences.
• Familiarity with infrastructure as code (Terraform or AWS CDK).
• Experience monitoring LLM/agent-based applications, including token usage and latency signals.

Responsabilidades

• Build OpenTelemetry instrumentation standards for agents, tools and platform services.
• Connect AgentCore Observability and CloudWatch with client observability tools (Datadog, Splunk, Grafana).
• Set up end-to-end tracing across agent steps, model calls and handoffs.
• Define SLOs for latency, availability and error rates; build useful alerts.
• Track token usage and compute spend with dashboards, budgets and alerts.
• Write runbooks; support incident response and post-incident reviews.

Conocimientos

OpenTelemetry

CloudWatch

Observability

Tracing

SLOs & Alerting

FinOps / cost monitoring

AWS

Python/Go/TypeScript

Communication

Herramientas

Datadog

Splunk

Grafana

New Relic

Terraform

AWS CDK

Langfuse

AgentCore Observability

Descripción del empleo

• We're putting together a dedicated delivery pod to build and run an internal agent platform on AWS Bedrock AgentCore for a global life sciences client. The pod works as one team with the client's engineers to deliver the platform other teams will build their agents on
• 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

Hands-on experience with OpenTelemetry (SDKs, collectors, exporters) and distributed tracingExperience 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 strategiesClear communication and able to turn data into decisions for technical and non-technical audiences6+ years in SRE, platform reliability or observability engineering, with strong hands-on AWS experienceScripting and coding skills in Python, Go or TypeScriptYou stay calm in incidents and focus on learning afterwardPrior experience and connections in the Life Sciences industry is preferredYou work well inside a client team and build trust quicklyExperience in pharma, life sciences or another regulated industryYou treat cost as a reliability concern, not an afterthoughtFamiliarity with LLM observability tools (e.g., Langfuse, Arize, LangSmith) or AgentCore ObservabilityYou build alerts people trust and dashboards people actually openYou have prior experience in consultingExperience with infrastructure as code (Terraform or AWS CDK) for monitoring resourcesYou want to know what's happening in a system before a user tells youExperience monitoring LLM or agent-based applications, including token usage, latency and quality signals