At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Role:
The Pipeline Developer, Creative Technology will report to the Senior Manager, Creative Technology and support the team working at the frontier of machine learning in filmmaking, where models and workflows are built in-house and evolve rapidly. This role is responsible for the team's production pipeline as it continues to take shape — bridging Nuke, ShotGrid (Flow Production Tracking), custom color workflows, and the inference paths that connect production work to the team's machine learning systems. It's a high-leverage position on a small, fast-moving team imagining what an AI-native production pipeline can be.
**Responsibilities: **
- Maintain, extend, and evolve the team's production pipeline end to end — Nuke, ShotGrid (Flow PT), color, asset and shot management, and the connective tissue between them
- Design and implement the integration layer between production tools and the team's ML inference workflows, partnering closely with the team's Machine Learning Engineers to make model-driven steps feel native to the pipeline
- Own the team's color-managed workflow — ACES configuration, EXR sequence handling, and ensuring consistent color across DCCs, review tools, and ML pipelines
- Build and maintain Python tooling that spans Nuke, ShotGrid, and adjacent systems, with a Linux backbone supporting users across Linux, Windows, and Adobe applications including Photoshop and After Effects
- Prototype rapidly — turn ideas into working tools in days rather than weeks, then iterate with the team based on real use
- Manage tool launchers, environment management (e.g., Rez), and DCC integrations so artists and engineers have reliable, reproducible setups
- Refine out-of-pipeline submission paths into ShotGrid for ad hoc work, research outputs, and prototype workflows that don't yet live in the main pipeline
- Partner with Production, research, and engineering to identify pipeline friction and design solutions that scale across projects
- Document tools, conventions, and architectural decisions clearly so the team can adopt, extend, and trust the pipeline as it grows
Qualifications:
- 6+ years of pipeline development experience in VFX, animation, or adjacent industries, with hands-on work on shipped productions
- Expert Python skills, with a track record of building production pipeline tooling that real teams rely on day to day
- Deep experience with Nuke pipeline integration — gizmos, callbacks, custom nodes, and Python tooling inside and around Nuke
- Hands-on experience integrating with ShotGrid (Flow), including the API, event daemon, webhooks, and custom workflow development
- Strong working knowledge of color-managed workflows, ACES, and EXR sequence handling across DCCs and review tools
- Experience supporting users on a Linux backbone alongside Windows and Adobe applications
- Demonstrated experience working cross-functionally across technical and creative stakeholders
Skills:
- Strong systems thinking — able to design pipeline architecture that holds up under fast iteration without becoming brittle
- Bias toward rapid prototyping and shipping — comfortable building something rough, putting it in front of users, and refining from there
- Fluency with agentic coding workflows (Claude Code, Codex, and similar) and a track record of using them to ship more, faster
- Opinionated and self-directed — brings a clear point of view on what a modern pipeline should look like, while staying open to evolving it as the team learns
- Excellent written and verbal communication, including the ability to translate between research, engineering, and production audiences
- Collaborative and technically curious; finds satisfaction in well-built tools and takes pride in making other people's work easier and faster
- Familiarity with environment and package management systems such as Rez
- Familiarity with data warehouses and their integration with ShotGrid (Flow) is a plus
- Comfort operating in an R&D environment where tools and workflows are still being built out — able to work effectively around rough edges, contribute to making things better, and adapt as the pipeline evolves
- Comfort with ambiguity and a fast-moving environment
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $165,000.00 - $265,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.