Infrastructure Operations Engineer (APAC)

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. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-turn-id-container="request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant"> 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. • Build automation and internal tooling that eliminates repetitive operational work and enables the infrastructure fleet to scale efficiently. • Identify recurring failure modes and partner with Infrastructure Engineering to build more reliable, repeatable, and automated systems. • Improve provisioning, monitoring, diagnostics, and operational processes across a rapidly growing infrastructure footprint. • Partner closely with Infrastructure Engineering, Network Engineering, Data Center Operations, Customer Experience, and Platform Engineering to resolve issues that cross team or system boundaries. • Participate in a distributed primary/secondary on-call rotation supporting production infrastructure. What You'll Need Required Qualifications • Strong experience operating and troubleshooting Linux-based production infrastructure at scale. • Experience troubleshooting complex infrastructure issues across compute, networking, storage, and operating systems. • Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools. • Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems. • Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure. • Strong systems and networking fundamentals, with a track record of owning production issues through resolution. • Comfortable working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams. Nice-to-Haves • Experience troubleshooting, provisioning, or operating bare-metal server infrastructure. • Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure. • Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center net…