Senior Software Engineer building scalable AWS, Big Data, and ML infrastructure for Genesys’ AI - powered customer - experience platform. Leading distributed systems projects from architecture through production.
About the role
- 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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