Senior Observability Platform Engineer for AI GPU Infra

Greenhouse Software, Inc.; United States; On-site; USD 160,000 - 230,000; Full time

Job summary

Nscale is hiring a Senior Observability Platform Engineer to design, build, and scale our observability platform for GPU clusters, AI workloads, and infrastructure. You will treat observability as a product, reducing cognitive load for engineers and surfacing meaningful signals for fast debugging.

You'll collaborate with SRE, infrastructure, and AI/ML teams to embed observability into services, contribute to platform direction, and implement critical systems.

Qualifications

• 5+ years in SRE, infrastructure engineering, platform engineering, or observability-focused roles.
• Experience operating and scaling observability systems in production environments.
• Strong understanding of monitoring concepts: metrics, logs, traces, alerting, and SLOs.

Responsibilities

• Design, build, and operate scalable observability systems across metrics, logs, traces, and alerting.
• Contribute to architectural decisions around tooling, data pipelines, storage, and retention strategies.
• Improve signal quality by reducing noise, managing cardinality, and refining alerting practices.
• Help identify and address observability gaps before they impact reliability.
• Partner with SRE, infrastructure, and AI/ML teams to integrate observability into services and platforms.
• Develop reusable patterns, libraries, and best practices that improve consistency across teams.
• Participate in incident response and postmortems, driving actionable improvements.
• Evaluate and adopt tools that improve developer experience, scalability, and operational efficiency.
• Support and mentor engineers within the team through code reviews and knowledge sharing.

Skills

Prometheus

Grafana

OpenTelemetry

Kubernetes

Python

Go

SRE experience

Observability

Tools

Prometheus

Thanos

VictoriaMetrics

Grafana

Loki

Tempo

OpenTelemetry

ClickHouse

Elastic

Job description

Nscale is hiring a Senior Observability Platform Engineer to design, build, and scale our observability platform for GPU clusters, AI workloads, and infrastructure. You will treat observability as a product, reducing cognitive load for engineers and surfacing meaningful signals for fast debugging.

You'll collaborate with SRE, infrastructure, and AI/ML teams to embed observability into services, contribute to platform direction, and implement critical systems.