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DigitalOcean

GPU inference · AI agents

Senior Cloud Support Engineer (Hyderabad)

HyderabadPosted 2 months ago
IT supportSeniorFull Time; Regular
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a robust community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, youll find your place here. We value winning togetherwhile learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking an exceptional Senior Cloud Support Engineer to join our AI/ML Support team at DigitalOcean. This is our highest individual contributor level within the Support organization, representing the pinnacle of technical expertise, customer advocacy, and strategic impact. As a Senior Cloud Support Engineer , you will serve as the ultimate technical authority for our most complex customer challenges, particularly around Kubernetes (K8S) and GPU/GradientAI workloads . You'll bridge the gap between deep support expertise and solutions architecture, designing sophisticated cloud infrastructure solutions while maintaining the customer-first mentality that defines our Support organization. This role combines the architectural thinking of a Solutions Architect with the hands-on troubleshooting excellence and customer empathy expected from our Support team. You will also participate in an operational on-call rotation to support critical incidents and escalations. What You'll Do Technical Leadership & Expertise Serve as the ultimate escalation point for the most complex, business-critical customer issues across Kubernetes, GPU/GradientAI, and AI/ML infrastructure, coordinating cross-functional responses that span Engineering, Product, and Operations Architect enterprise-grade solutions for customers building large-scale AI/ML workloads on DigitalOcean, including multi-cluster Kubernetes deployments, distributed GPU training infrastructure, and hybrid/multi-cloud architectures Lead tec Dive in and do the best work of your career at DigitalOcean. Journey alongside a robust community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, youll find your place here. We value winning togetherwhile learning, having fun, and making a profound difference for the dreamers and builders in the world. We are seeking an exceptional Senior Cloud Support Engineer to join our AI/ML Support team at DigitalOcean. This is our highest individual contributor level within the Support organization, representing the pinnacle of technical expertise, customer advocacy, and strategic impact. As a Senior Cloud Support Engineer , you will serve as the ultimate technical authority for our most complex customer challenges, particularly around Kubernetes (K8S) and GPU/GradientAI workloads . You'll bridge the gap between deep support expertise and solutions architecture, designing sophisticated cloud infrastructure solutions while maintaining the customer-first mentality that defines our Support organization. This role combines the architectural thinking of a Solutions Architect with the hands-on troubleshooting excellence and customer empathy expected from our Support team. You will also participate in an operational on-call rotation to support critical incidents and escalations. What You'll Do Technical Leadership & Expertise Serve as the ultimate escalation point for the most complex, business-critical customer issues across Kubernetes, GPU/GradientAI, and AI/ML infrastructure, coordinating cross-functional responses that span Engineering, Product, and Operations Architect enterprise-grade solutions for customers building large-scale AI/ML workloads on DigitalOcean, including multi-cluster Kubernetes deployments, distributed GPU training infrastructure, and hybrid/multi-cloud architectures Lead tec

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