DevOps / Cloud Support Engineer

About the role

We are looking for a DevOps / Cloud Support Engineer to keep our AI SaaS platform online, secure, fast, observable, and scalable. You will work closely with engineering teams to ensure reliable deployments and rapid recovery from incidents.

Key responsibilities

• Set up, configure, and maintain cloud infrastructure across AWS, Google Cloud, Azure, Vercel, Render, Railway, or similar platforms.
• Manage CI/CD pipelines, release environments, and support safe deployments.
• Monitor uptime, errors, logs, and performance metrics; implement alerting and observability.
• Configure storage, databases, queues, background jobs, and AI processing resources.
• Handle backups, security basics, access permissions, and environment variables.
• Optimize cloud cost and performance for AI workloads.
• Assist engineering teams in troubleshooting and rapid incident recovery.

Required profile

• Hands‑on experience with major cloud providers (AWS, Google Cloud, Azure) or comparable services.
• Proficiency with Docker and containerised workflows.
• Solid understanding of CI/CD concepts and pipeline tooling.
• Basic knowledge of database backup, monitoring, and security/access control.
• Experience with logging and performance monitoring tools.

Required skills

• AWS
• Google Cloud
• Azure
• Vercel
• Render
• Railway
• Docker
• CI/CD pipelines
• Database backup
• Monitoring
• Security
• Access control
• Logging
• Performance monitoring
• GPU cloud (nice to have)
• Video processing pipelines (nice to have)
• Serverless architecture (nice to have)
• Kubernetes (nice to have)
• Cost optimization for AI workloads (nice to have)