Python Pipeline Developer

Why This Role

This is a chance to own real tools end to end. You'll build internal tools and automation that a whole studio of creative professionals uses every day, take modules from idea to production in months rather than years, and work on modern tech — cloud infrastructure, a fast-growing AI/ML layer, and USD-based data workflows — instead of maintaining legacy code. AI is expanding quickly in this space, and this role sits right at that edge: you'll help decide how ML tooling gets built into real production workflows, not just consume it. There's a clear path to grow into deeper platform and R&D work, with senior engineers to learn from and junior developers to mentor. If you like building tools that visibly make people's work faster, you'll enjoy it here.

About FutureWorks

FutureWorks is a leading VFX and animation studio with 17+ years delivering high-quality visual effects and post production for feature films, OTT, television, and commercials. Behind the creative work is a serious software problem: hundreds of artists, terabytes of assets, and complex multi-stage workflows that all need tooling, automation, and integration to run smoothly. That's what our pipeline and R&D teams build, and it's the work this role is part of.

About the Role

We're looking for a strong Python developer to design, build, and maintain the internal tools and automation that keep our production pipeline running. In plain terms: you'll build the desktop apps, services, and automation that connect the many applications artists use, move data between stages of production, and remove manual, repetitive work.

At its core this is a software engineering role. If you write clean, well-structured Python, enjoy building tools that solve real problems for real users, and like integrating systems through their APIs, you'll do well here — whether or not you've worked in VFX or media before. The domain-specific stack (our production-tracking system, the creative applications, USD) is a niche skill set, and we're glad to train the right engineer on it. We care far more about the fundamentals that are hard to teach: Python craftsmanship, problem-solving, and a tools-builder mindset.