# Infrastructure Operations Engineer (APAC) at Lightning AI

> Singapore · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/greenhouse%3Alightningai%3A7817827003 (read 2026-11-11).

## Facts (observed)

- Company: [Lightning AI](https://alderhq.app/companies/lightning-ai)
- Location text: Singapore; Singapore
- Where it can be done from (inferred): Singapore (evidence: "Location: Singapore; Singapore")
- Posted: 2026-07-27 (107 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/lightningai/jobs/7817827003
- Skills listed (inferred): Docker, PyTorch

## Pay and sponsorship

- Posted pay: SGD 165k–SGD 220k per year (from the listing's pay field)
- Market band for similar posted roles (Singapore, n 4): p25 SGD 141k, median SGD 179k, p75 SGD 209k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Alightningai%3A7817827003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.