Senior Pipeline Engineer designing, building, and maintaining Python-based tools for stage production workflows. Collaborating across departments to enhance asset management and data integration processes.
Responsibilities
Take ownership of significant pipeline initiatives supporting stage production workflows, from conception through delivery, in collaboration with pipeline leadership and production stakeholders
Translate user stories and workflow requirements into clear, maintainable technical solutions, evaluating trade-offs, estimating effort, and mitigating risk
Break down complex problems into well-defined components and execute within an Agile development framework to deliver reliably to production
Design, implement, and maintain Python-based pipeline tools and integrations that support dataflow, asset management, and system interoperability across stage environments
Contribute to the evolution of pipeline systems by exploring improvements, new workflows, and emerging technologies relevant to stage production
Uphold engineering best practices through code reviews, documentation, testing, and peer mentorship
Collaborate across disciplines to ensure pipeline workflows remain scalable, reliable, and aligned with production needs
Requirements
8+ years of professional experience developing Python-based pipeline tools for stage or production environments, with a focus on dataflow, asset management, and system integration
Senior-level experience contributing to complex pipeline systems, mentoring peers, and operating within shared ownership models
Strong understanding of stage production pipelines, including real-time and near-real-time workflows supporting virtual production and volumetric capture
Proven ability to design intuitive, maintainable frameworks and developer-facing interfaces using object-oriented programming (OOP) principles
Hands-on experience integrating with production systems such as ShotGrid, including API-driven automation and metadata management
Working knowledge of media workflows, including video transcoding, format management, and color pipeline considerations
Experience contributing to both large shared codebases and modular tool ecosystems, with an understanding of how development practices differ across environments
Familiarity with modern pipeline-adjacent technologies, including ML- or AI-assisted tooling and service-oriented architectures
Working knowledge of Houdini APIs in support of stage or pipeline workflows would be a strong plus
Strong written and verbal communication skills, with a self-directed, detail-oriented, and solution-driven working style.
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