🛠 Tech Stack

💼 About This Role

You'll design and maintain scalable, highly available infrastructure for our AI platform and customer-facing applications, working closely with software engineers and research teams. Your core impact is ensuring system reliability, performance, and seamless operations across distributed environments. This role offers exposure to cutting-edge AI/ML workloads and HPC clusters.

🎯 What You'll Do

• Design and maintain scalable, fault-tolerant infrastructures
• Operate production systems and troubleshoot issues
• Implement monitoring, alerting, and incident response systems
• Drive automation in deployment and orchestration

📋 Requirements

• Master's degree in Computer Science or related field
• 7+ years of experience in a DevOps/SRE role
• Strong experience with cloud computing and distributed systems
• Hands-on experience with CI/CD, Docker, Kubernetes

✨ Nice to Have

• Experience in an AI/ML environment
• Experience with HPC systems and Slurm
• Worked with AI-oriented cloud solutions

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 2 hours