Infrastructure Engineer, Observability

Lightning AI

Observability Infrastructure Engineer at Lightning AI, creating scalable observability platforms for AI systems. Operating within infrastructure, customers, and observability tools in a hybrid or remote setting.

Posted 6/24/2026full-timeNew York City • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsGoGrafanaKafkaKubernetesPrometheusPython

About the role

Key responsibilities & impact

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
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
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
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
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

Requirements

What you’ll need

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

Benefits

Comp & perks

Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
Generous paid time off, plus holidays
Paid parental leave
Professional development support
Wellness and work-from-home stipends
Flexible work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

observabilitymonitoring systemsPythonGobashstreaming telemetry pipelinesmulti-tenant monitoring architecturesdata integrationKubernetes observabilitydebugging

Soft Skills

communicationcollaborationproblem-solvingorganizational skillscustomer-facing experienceteamworkproactive detectionsystem transparencyreliabilitybest practices definition