Infrastructure Engineer (Observability)

WHO WE ARE

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.

WHAT WE’RE LOOKING FOR

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.
• We’re flexible on location for this team. This role can work hybrid out of one
• of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with
• occasional company and team offsites. We are not able to provide visa
• sponsorship for this position at this time.
• 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
• 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.
• The anticipated annual base salary range for this role is:
• $180,000—$200,000 USD
• BENEFITS AND PERKS
• We offer a comprehensive and competitive benefits package designed to support
• our employees’ health, well-being, and long-term success.

Benefits

may vary by

location, team, and role.

Benefits

include:

* 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

At Lightning AI, we are committed to fostering an inclusive and diverse

workplace. We believe that diverse teams drive innovation and create better

products. We provide equal employment opportunities to all employees and

applicants without regard to race, color, religion, gender, sexual orientation,

gender identity, national origin, age, disability, veteran status, or any other

protected characteristic. We are dedicated to building a culture where everyone

can thrive and contribute to their fullest potential.