Senior Backend Engineer

Senior Backend Engineer / Architect ImagineArt · Remote · Full-TimeAbout the roleWe're a bootstrapped GenAI platform serving image and video generation at real scale — Fortune 500 clients, $35M+ ARR, and traffic that doesn't wait for you to catch up. We need a backend engineer who thinks in systems, not just services. You'll own the architecture behind our generation pipelines, inference orchestration, and the infrastructure that keeps latency low while volume climbs.This is a hands-on architect role. You will design and write code, not just draw diagrams.What you'll do 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 What we're looking for 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) Why ImagineArt 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 Originally posted on Himalayas