
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Lightning AI is a platform designed to build machine learning models and publish Lightning Apps, which are templates that integrate various ML lifecycle tools. The company specializes in artificial intelligence, machine learning, infrastructure, deep learning, and data science, positioning itself as a tool to expedite the ML development process from months to days.
🔥 3 hours ago
🇸🇬 Singapore – Remote
💵 $165k - $220k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷 Infrastructure Engineer
👻 Ghost score 3%
Where this job comes from
Posted on Lightning AI's careers page, not through a job board
First seen by Remote Rocketship 3 hours ago
Still open on Lightning AI's site. Checked 41 minutes ago.

11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Lightning AI is a platform designed to build machine learning models and publish Lightning Apps, which are templates that integrate various ML lifecycle tools. The company specializes in artificial intelligence, machine learning, infrastructure, deep learning, and data science, positioning itself as a tool to expedite the ML development process from months to days.
• 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 investigation through resolution and root cause analysis • Own provisioning, configuration, validation, maintenance, remediation, and decommissioning workflows • Build automation and internal tooling to eliminate repetitive operational work and scale the infrastructure fleet • Identify recurring failure modes and partner with Infrastructure Engineering to build reliable, repeatable, automated systems • Improve provisioning, monitoring, diagnostics, and operational processes • Partner with Infrastructure Engineering, Network Engineering, Data Center Operations, Customer Experience, and Platform Engineering • Participate in a distributed primary/secondary on-call rotation supporting production infrastructure
• 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 • Monday-Friday availability from 8:00 AM to 5:00 PM local time (UTC+8) • Regular participation in an on-call rotation
• Medical, dental, and vision coverage for employees and eligible dependents • RSUs that give employees a stake in the company's long-term success • 401(k) matching (U.S.) and pension contributions (U.K.) • Unlimited PTO, company holidays, and floating holidays • Two weeks of company closure each winter • Paid parental and family leave • Annual learning and development allowance • Wellness and work-from-home stipends • Four weeks of paid sabbatical leave after four years of service • Flexible schedules and a hybrid work model for office-based teams • Complimentary meals at office hubs
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🇸🇬 Singapore – Remote
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🟡 Mid-level
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