DevOps/Cloud Engineer (Inter, Junior, Mid, Senior)
Description
Mandatory: Explore AICINES product at: aicines.com
Immediate Requirement: Referrals encouraged.
Company Description AICines.ai is the world’s first end-to-end AI content creation and monetization platform, built specifically for AI-generated video content from short reels to full-length feature films. The platform unifies AI-driven story and script generation, scene and character creation, smart editing tools, hosting, and revenue monetization in a single ecosystem. By redefining the entertainment pipeline from script to screen through multimodal intelligence, AICines.ai empowers creators, brands, and studios to produce cinematic content at scale. Operating at the intersection of AI, FilmTech, and the creator economy, the company is focused on building the next generation of AI-powered storytelling for a global audience.
Open to interns, fresh graduates, and early-career professionals — we hire based on what you can do, not your job title or years of experience.
Responsibilities
Mandatory: Explore AICINES product at: aicines.com
Immediate Requirement: Referrals encouraged.
Role Description The DevOps/Cloud Engineer role at AICines.ai is a remote position focused on building and maintaining the cloud infrastructure that powers AI-driven content generation at scale. On a day-to-day basis, this role involves managing CI/CD pipelines, monitoring system performance, optimizing cloud costs, and ensuring high availability and security of production systems. The engineer will collaborate with the engineering team to automate deployments, scale GPU/compute-heavy workloads, and support the platform's reliability as usage grows.
Requirements
Mandatory: Explore AICINES product at: aicines.com
Qualifications
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Experience building and maintaining CI/CD pipelines.
Understanding of infrastructure-as-code tools (e.g., Terraform) and monitoring/alerting systems.
Strong troubleshooting skills and ability to respond to production incidents.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.