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Lightning AI

Infrastructure Operations Engineer (APAC)

Singapore; SingaporeSingapore
Infrastructure Engineering
POSTED 27 JUL
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Role
106 days opentrue age
Posted 27 Jul
Payats field
SGD 165k–220kposted
▲ +8% vs market median SGD 179k
SGD 141kSGD 220k
Market p25–p75
SGD 141k–SGD 209k
Singapore · n=4 · 365d to 10 Nov
CompanyLightning AI →
47open roles
Opened · 30d
+0
Closed · 30d
−0
30d window
Market
3,289open · DevOps / SRE / Infra
Opened · 7d
+2678% of open
All devops / sre / infra
7,029open
All tracked boards · live 11 Nov · n=3,289
DockerPyTorch

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.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

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What We're Looking For

Lightning AI is seeking an experienced Senior Infrastructure Operations Engineer to help operate and scale the infrastructure behind one of the world's largest GPU fleets.

Our Infrastructure Operations team sits at the center of production reliability for Lightning's AI infrastructure. The team works across Linux, bare-metal servers, GPUs, networking, storage, provisioning, and cluster orchestration, serving as a critical technical escalation point when complex infrastructure issues arise.

This is not a traditional systems administration or ticket-driven operations role. You'll troubleshoot problems across the infrastructure stack, own issues through resolution, and identify opportunities to automate recurring work. You'll also contribute to longer-term engineering projects that improve reliability, standardize operations, and allow our infrastructure to scale efficiently.

We're looking for an infrastructure generalist who is comfortable going deep when something breaks, but who also step back and ask how we can prevent the same problem from happening again.

This role is remote and open to candidates residing in Singapore. The role follows a Monday-Friday schedule from 8:00 AM to 5:00 PM local time (UTC+8), with regular participation in an on-call rotation.

What You'll Do

  • Operate and troubleshoot large-scale GPU and bare-metal infrastructure across Linux, compute, networking, storage, and cluster orchestration.
  • Serve as a technical escalation point for complex infrastructure issues, driving problems from initial investigation through resolution and root cause analysis.
  • Own operational workflows across the infrastructure lifecycle, including provisioning, configuration, validation, maintenance, remediation, and decommissioning.
Source · Lightning AIFirst seen 7 NovOriginal ↗