Senior Backend Engineer

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ImagineArt

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

Artificial Intelligence • SaaS • Media

ImagineArt is an AI-powered creative platform that lets users and teams generate, edit, and manage images, videos, and other multimedia assets using generative models, workflows, and customizable apps. The product includes features such as inpainting, upscaling, motion control, lip-sync, background replacement, and mobile apps, and supports collaborative workflows for individuals and teams in production settings.

📋 Description

• Design and own backend systems that handle high-throughput, asynchronous workloads (generation queues, worker orchestration, media processing) • Architect for scale and reliability — you'll make the calls on data flow, service boundaries, and failure handling • Build and optimize async pipelines: job queuing, retries, backpressure, dead-letter handling, and everything that keeps millions of requests moving • Improve performance and cost at the infrastructure level — inference is expensive, and efficiency is a product feature here • Set technical direction and raise the engineering bar for the team through review and mentorship

🎯 Requirements

• Strong backend experience (5+ years) with real ownership of production systems at scale • Proven system design skills — you can defend your architecture decisions with tradeoffs, not buzzwords • Hands-on experience with asynchronous pipelines, message queues (Kafka, RabbitMQ, SQS, or similar), and distributed workers • Comfort with high-concurrency, high-throughput environments • Ability to work independently in a fast, low-process, bootstrapped environment • Nice to have: Experience with Go (or willingness to work in it — we lean on Go for backend) • Exposure to ML/AI infrastructure, GPU workloads, or media processing pipelines • Track record contributing to open source (we look at GitHub signal)

🏖️ Benefits

• Real revenue, real users, no VC treadmill — decisions are made by engineers and founders, fast • Genuinely hard technical problems at the intersection of AI and scale • Fully remote, full-time