Member of Technical Staff - Observability & Reliability

About the role

Avra is an AI lab building relational foundation models, used by leading Latin American enterprises in credit, growth and fraud. At Avra, every technical individual contributor is a Member of Technical Staff (MTS), owning systems and outcomes rather than steps in a function. This role joins the Platform team as the go-to expert on observability and reliability, because customers make real-time decisions based on Avra's responses.

Key responsibilities

• Evolve the observability stack for logs, metrics, traces and alerting.
• Make sure every dataplane, in the cloud and on-premise, reports its active release, health, heartbeat, logs, metrics and usage to the control plane.
• Bring telemetry into customer clusters within a model where agents only make outbound connections.
• Detect drift between the desired state and what is actually running in each environment.
• Monitor the health of deployment and runtime agents, and provide visibility into ephemeral workloads such as Ray clusters running batch inference.
• Define SLOs, lead incident response and postmortems, and reduce MTTR, including when a fix requires coordinating with the customer.
• Reduce telemetry cost: less redundant data, more useful signal.

Required profile

• Deep experience with OpenTelemetry and observability backends.
• Hands-on practice with SLOs, error budgets, actionable alerting and incident management.
• Strong experience with Kubernetes and infrastructure as code (Terraform / Helm).
• Experience operating software in environments you do not fully control.
• Production-quality code and reviews, and a willingness to operate what you build.

Nice to have

• Shipping software to customer-hosted Kubernetes (Helm, outbound-only connectivity).
• GCP or GKE, AWS or EKS.
• ML multi-node/multi-cluster workloads in production.
• Financial services or regulated environments.