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AI Platform Support Engineer (APAC)

Lightning AI

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What platform roles keep asking for: AWS (30%), Kubernetes (29%), Python (24%), Observability (23%), GCP (21%), System design (19%), Azure (19%), CI/CD (16%) — counted across their open postings here.

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Lightning AI has 53 open roles listed here.

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Preparing for this interview

Interviews for platform roles keep coming back to AWS, Kubernetes, Python, Observability. Practise those questions before you sit with Lightning AI.

Questions you are likely to be asked

  1. Why do you want to join Lightning AI?
  2. What is your experience with Observability? Tell me one thing you learned the hard way.
  3. How do you decide which ticket to work on first?
  4. Tell me about feedback from customers that you passed on to the product team.
  5. How do you explain a technical problem to a customer who is not technical?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the AI Platform Support Engineer (APAC) at Lightning AI interview free →

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.
 

What We’re Looking For

Lightning AI is looking to hire an AI Platform Support Engineer to join our APAC Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.

This role is not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.

This role is remote and open to candidates based in the Philippines or Singapore. We are hiring for a Sunday-Wednesday shift schedule, with working hours from 7:00 AM to 5:00 PM local time (UTC+8).


What You'll Do

Work Directly With ML Engineers

Debug ML Infrastructure & Distributed Workloads

Improve Reliability & Platform Operations

What This Role Is Not

To set clear expectations:

This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers.

 

What You’ll Need

Required Qualifications

Infrastructure & Systems

ML Infrastructure Experience

Collaboration

Nice-to-Haves

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

 

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.

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Listed on greenhouse · posted 2026-05-15. ApplySarthi collects openings and links to application pages; the role is advertised by Lightning AI, not by us.