• Avid MAM and AXF metadata engineering. • Analyze and process Avid AXF exports for assignments, stories, clips, and media objects. • Extract, validate, and troubleshoot metadata using Python-based tooling. • Understand and work with Avid project hierarchies, relationships, and legacy metadata structures. • Retrieve and validate media object locations via archive APIs. • Identify and resolve corrupted exports, inconsistencies, and legacy formatting issues. • Metadata transformation and MAM ingest. • Design and implement transformation workflows to convert Avid metadata into flat, normalized JSON. • Map Avid fields to target MAM schemas and ingest specifications. • Generate and validate MAM compliant sidecar JSON files. • Support end to end ingest testing and verify correct asset representation and proxy generation. • Media validation and migration readiness. • Validate media completeness across Avid, archive systems, and object storage. • Perform checksum verification, object existence checks, and readiness validation. • Support preparation of migration manifests for bulk transfer workflows. • Identify and resolve mismatches between metadata and physical media. • Python workflow engineering. • Enhance Python workflows used for metadata extraction, transformation, and orchestration. • Implement robust error handling, detailed logging, and recoverable execution paths. • Optimize pipelines for high volume archival workloads. • Collaborate closely with technical stakeholders to validate logic and improve tooling. • Ingest verification and documentation. • Verify successful migration and ingest into the new MAM and cloud storage. • Confirm metadata accuracy, media presence, and correct asset linkage. • Produce detailed documentation, workflow diagrams, and operational runbooks. • Contribute to testing cycles, validation reviews, and regular status reporting.

• Design, build, and maintain full stack applications with a focus on scalable backend services • Develop and consume REST API integrations with third-party systems • Build and enhance Lightning Web Components (LWC) on the Salesforce platform • Implement clean, maintainable code following modern engineering best practices (patterns, modularization, unit testing) • Work with front-end technologies including TypeScript, React, or LWC • Collaborate with internal teams consuming the integrations you develop (e.g., Eddie’s team) • Support ongoing enhancements to Salesforce Financial Services Cloud and related applications • Work with Snowflake-based data integrations in a modern, newly implemented environment (minimal tech debt)

• Lead and Develop a High-Impact Technical Team • Build an environment of trust where strong technical debate is encouraged • Coach and develop engineers, turning challenges—technical and delivery-related—into learning and growth • Set clear priorities so the team focuses on the work that matters most • Protect and Improve Delivery Performance • Partner with suppliers and internal teams to anticipate delivery risks and address root causes early • Lead structured problem-solving when issues emerge, ensuring fast containment, clear ownership, and sustainable fixes • Own Casting Technical Excellence • Serve as the authority and escalation point for casting technologies, supplier processes, and standards • Drive Continuous Improvement with a Customer Lens

• Build and scale AI-powered applications • Work closely with other engineers to develop and implement innovative solutions • Participate in on-call rotation • Deliver software efficiently while maintaining high engineering standards • Actively share expertise through design discussions, documentation, examples, and mentoring other engineers • Tackle challenging software architecture problems and design and implement solutions