Software Engineer

Company Description

InfiniMind is a video reasoning platform that turns raw footage into enterprise decisions. We process video at scale — running our own models, not wrapping third-party APIs — and deliver results that companies act on with confidence. Founded by ex-Googlers, backed by world-class VCs, with paying enterprise customers and global expansion underway.

We're looking for a generalist engineer who can operate autonomously across the entire stack — infrastructure, backend services, data pipelines, and AI integration — and ship production systems without waiting for specs.

What you will own

• Video processing pipelines — ingest, segment, and orchestrate analysis across multi-service architectures handling hours of footage daily
• ML inference infrastructure — serve custom models in production with GPU scheduling, manage throughput and latency at enterprise scale
• Event-driven backend systems — design and maintain the services, queues, and workflows that connect upload through indexing to real-time query
• Search and retrieval — vector search, hybrid ranking, and evidence retrieval across large-scale video libraries
• Infrastructure — Kubernetes on AWS, observability, CI/CD, and the operational health of production services serving real customers
• Architecture decisions — you'll shape how the platform evolves, not just execute tickets

First 90 Days

• Week 1: Working dev environment, deploying to staging, first PR merged.
• Month 1: Ship a meaningful improvement to an existing pipeline or service. You'll already own something.
• Month 3: Responsible for a system end-to-end — from design through production operation. Presenting architectural decisions to the team.

Qualifications

You have:

• 4-6 years building production systems — you've owned services end-to-end, not just contributed features
• Python and TypeScript — both are core to the platform, not one or the other
• Kubernetes in production (not just local Docker)
• Cloud infra
• Event-driven or streaming architectures (queues, pub/sub, workflow orchestration)
• Enough ML fluency to work alongside models — you don't need to train them, but you understand inference, embeddings, and how to serve them reliably
• Native Japanese language skills (JLTP N1)

Even better:

• Experience with video/media processing pipeline
• ML inference serving
• Workflow orchestration systems
• Vector databases and semantic search at scale
• Observability in distributed systems
• Prior experience at a startup where you shipped without a large team around you

YOU'LL THRIVE HERE IF YOU

• Default to owning problems, not waiting for requirements
• Work across systems rather than staying in one service
• Get energy from shipping to real users, not internal tools
• Communicate clearly in writing — async decisions, proposals, updates
• Are honest about gaps and fast at closing them

Role Details

• Location: Tokyo, Japan (on-site)
• Employment: Full-time permanent
• Language: English and Japanese required
• Compensation: Competitive
• Relocation: Support provided for international candidates

Send you resume/CV to talent@infinimind.io