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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and supporting production tools and content pipelines, with a strong focus on Python programming, API design, and automated testing. Proven ability to lead technical projects, mentor engineers, and develop user-friendly tools for artists within complex workflows.
Highest-signal resume keywords
Python ProgrammingTechnical LeadershipDCC Application IntegrationAutomated TestingAI Workflow Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAPI DesignDebuggingVersion ControlC++JavaUSD/OpenUSDHoudiniMayaBlender
Soft Skills
CollaborationMentoringCommunicationProblem-Solving
Tools & Technologies
Unreal EngineUnityPySide/QtPerforceAgent Evaluations
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceComputer Engineering
Industry Keywords
Content PipelinesProduction ToolsWorkflow SystemsAsset ManagementReal-Time Systems
Tech Stack
Tools & technologiesJavaPythonQtUnityUnreal EngineC++
About the role
Key responsibilities & impact- Own systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support
- Build agentic workflows that coordinate models, tools, APIs, and services, including context and state management, retries, partial failure handling, and human review
- Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, code review, and validation
- Create DCC integrations, plugins, panels, desktop applications, and pipeline services for artist and technical artist workflows
- Build and evolve content pipelines covering authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems
- Define APIs and data contracts, and manage dependencies, packaging, compatibility, and releases across production environments
- Establish automated testing, agent evaluations, tracing, monitoring, and performance measurements, alongside access controls, approval points, and recovery mechanisms
- Work directly with users to identify problems and prioritize improvements; document systems, support adoption, mentor engineers, and lead technical reviews
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
- 8+ years of relevant software engineering experience building and supporting production tools, content pipelines, or comparable workflow systems
- 2+ years of technical leadership experience, including leading projects, guiding architectural decisions, mentoring engineers, and coordinating delivery
- Strong Python skills and sound judgment in software architecture, API design, testing, debugging, and maintainable code
- Experience integrating with DCC applications and supporting content workflows from authoring through validation, publishing, and downstream delivery
- Experience building multi-step AI workflows that invoke tools or APIs and interact with existing software systems, including state management, validation, failure handling, and evaluation
- Ability to develop usable tools for artists or other specialist users and translate workflow needs into practical engineering requirements
- Experience with version control, code review, automated testing, and release practices appropriate to production-critical software
- Ability to diagnose issues across application, service, and data boundaries, communicate technical tradeoffs, and collaborate across engineering and creative teams
- Background with Houdini, Maya, Blender, or Nuke extension APIs and artist-facing interfaces built with PySide/Qt or similar frameworks
- Experience with USD/OpenUSD, asset publishing, production tracking, asset management, and Perforce-based content workflows
- Proficiency in C++ or Java, or experience with Unreal Engine, Unity, proprietary engines, graphics, rendering, or shader development
- Experience with LLM APIs, tool calling, structured outputs, retrieval and context systems, and agent evaluations measuring quality, latency, and cost
- Experience with distributed services, job scheduling, asynchronous workflows, caching, or large-scale processing