About DigitalOcean
DigitalOcean simplifies cloud computing for developers and businesses. As a leading cloud infrastructure provider, we empower startups and SMBs with scalable solutions, including our cutting-edge AI/ML offerings through Paperspace integration.
Key Job Details
📍 Location: Hyderabad (Onsite)
💰 Salary: As per company standards (Competitive)
🎓 Qualification: Graduate/Engineering Degree
⏳ Experience: Freshers & Experienced (0-3 years)
📅 Requisition ID: 6979837
Complete Job Summary
| Category | Details |
|---|---|
| Company | DigitalOcean |
| Job Role | Associate Cloud Support Engineer |
| Eligibility | CS/IT/ECE Graduates |
| Experience | 0-3 Years |
| Job Location | Hyderabad |
| Job Type | Full Time |
| How to Apply | Scroll down for application link |
Job Responsibilities
- Provide expert support for AI/ML cloud infrastructure (GPU products)
- Troubleshoot bare metal and virtualized environments
- Design AI/ML solutions for customer use cases
- Conduct technical demos and architecture planning
- Collaborate with global engineering teams on escalations
- Create technical documentation and knowledge base articles
- Optimize customer onboarding and retention processes
- Implement Linux system diagnostics and networking fixes
Eligibility Requirements
Technical Must-Haves:
- Linux system administration (ssh, systemctl, docker)
- Cloud infrastructure fundamentals
- Networking (TCP/IP, routing, switching)
- Python scripting for ML tools
- NVIDIA/AMD driver management
AI/ML Knowledge:
- LLMs, computer vision, or speech-to-text systems
- TensorFlow/PyTorch distributed training
- Model deployment and monitoring
Soft Skills:
- Exceptional troubleshooting ability
- Customer-facing communication
- Technical documentation skills
Salary and Benefits
- Competitive compensation + bonuses
- Comprehensive health coverage
- Cloud certification sponsorships
- Global team collaboration
- Startup culture with growth opportunities
- Tech gadget allowances
Work Environment
- Modern Hyderabad tech hub
- Collaborative Slack-driven culture
- Regular AI/ML hackathons
- Mentorship from cloud experts
- Open-source contribution opportunities
Selection Process
- Online Application
- Technical Screening (Linux/Cloud)
- AI/ML Case Study
- Technical Interview
- Culture Fit Discussion
Application Process
- Review all requirements
- Click official apply link below
- Create DigitalOcean profile
- Upload resume/project samples
- Submit application
