About us
Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.
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.
ROLE RESPONSIBILITIES- 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.
- 6+ years in SRE, platform reliability or observability engineering, with strong hands-on AWS experience.
- 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 defining and running SLOs, error budgets and alerting strategies.
- Experience building cost visibility and FinOps reporting on AWS (Cost Explorer, CUR, tagging strategies).
- 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 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.
- Experience with infrastructure as code (Terraform or AWS CDK) for monitoring resources.
- Experience in pharma, life sciences or another regulated industry.
- You want to know what’s happening in a system before a user tells you
- You build alerts people trust and dashboards people actually open
- You treat cost as a reliability concern, not an afterthought
- You stay calm in incidents and focus on learning afterward
- You work well inside a client team and build trust quickly
- You have prior experience in consulting
- Prior experience and connections in the Life Sciences industry is preferred
Accommodations are available upon request throughout the recruitment process.
Skills Required
- 6+ years of experience in SRE, platform reliability, or observability engineering
- Strong hands-on AWS experience
- Hands-on experience with OpenTelemetry SDKs, collectors, exporters, and distributed tracing
- Experience with Amazon CloudWatch and at least one enterprise observability platform such as Datadog, Splunk, Grafana, or New Relic
- Experience defining and running SLOs, error budgets, and alerting strategies
- Experience building AWS cost visibility and FinOps reporting using Cost Explorer, CUR, and tagging strategies
- Scripting and coding skills in Python, Go, or TypeScript
- Clear communication skills and ability to turn data into decisions for technical and non-technical audiences
- Experience monitoring LLM or agent-based applications, including token usage, latency, and quality signals
- Familiarity with LLM observability tools such as Langfuse, Arize, LangSmith, or AgentCore Observability
- Experience with infrastructure as code using Terraform or AWS CDK
- Experience in pharma, life sciences, or another regulated industry
- Prior experience in consulting
- Prior experience and connections in the life sciences industry
What We Do
Inspiring Possibility Appnovation is a full service digital consultancy with experience and capacity to meet the needs of even the largest most complex of organizations in the world. Our services portfolio enables us to offer clients the best of experiences when working with our teams so as to make sure we keep the focus on their needs, customers and delivering tangible value to the business. End to end services; endless ideas.
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