Infrastructure Engineer (Observability)

About the Role

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team. In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility. You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

What You’ll Do

• Observability Platform & Productization
• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts
• Telemetry & Data Pipelines
• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
• Alerting, Reliability & Insights
• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
• Systems & Infrastructure Engineering
• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments
• Cross-Functional Collaboration
• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications
5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
Experience building and operating observability platforms at scale
Proficiency in Python, Go, or bash for automation and data integration
Familiarity with containerized environments and Kubernetes observability
Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
Experience with multi-tenant monitoring architectures
Strong written and verbal communication skills

Ideal Experience
Experience with GPU observability, particularly NVIDIA DCGM
Experience monitoring large-scale GPU or HPC clusters
Familiarity with InfiniBand fabric observability
Experience building customer-facing or productized infrastructure systems
Experience with correlation engines, RCA workflows, or predictive alerting systems
Broad exposure to infrastructure domains including networking, storage, and provisioning

About Lightning AI

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Compensation

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.