• Develop and maintain web apps, dashboards, and similar software with a primary focus on frontend development in React JS • Contribute to backend development and maintenance in .NET (~20% of the role) • Work with other programmers, artists, and the support team • Analyze user needs and develop software solutions • Work with the project manager or product owner to meet the specification needs • Collaborate with other developers to design and optimize code • Document and track all programming tasks and procedures • Comfortable adopting and working with AI tools and systems as a core part of the development process — our client has an expectation of AI-integrated workflows going forward

• Design and develop core features within Wowza Streaming Engine designed for testability and scale. • Design and implement advanced transcoder workflows for new codecs and accelerators. • Design and implement highly scalable packaging workflows. • Debug and resolve customer reported issues, bugs and performance issues. • Participate in cross-functional projects from conception through deployment. • Be a resource to other team members as a streaming subject matter expert.

• Stand up and configure Databricks environments end-to-end • Design and deploy medallion (bronze/silver/gold) data pipelines • Establish infrastructure-as-code and CI/CD foundations using Databricks Asset Bundles, Terraform, and GitHub Actions or Azure DevOps • Build applied AI solutions on Mosaic AI • Optimize Delta Lake performance and design for scalability, reliability, and cost efficiency • Integrate Databricks with the broader enterprise stack via Lakehouse Federation, Delta Sharing, and more • Partner with functional and MDM/data governance leads • Document and communicate architecture decisions

• Design, build, and maintain scalable backend services and APIs using Python and Django. • Develop and optimize data storage solutions with PostgreSQL and Redis, ensuring reliability and performance. • Implement Elasticsearch for search and analytics across large datasets. • Architect and operate distributed systems that handle high-throughput and low-latency workloads. • Build and operate asynchronous task queues and background workers using Celery and Redis. • Write clean, maintainable, and unit-test–focused code with strong coverage using pytest. • Build and maintain REST APIs, ensuring proper authentication, authorization, and versioning • Monitor, troubleshoot, and optimize backend services for scalability, reliability, and cost-effectiveness. • Collaborate with frontend, QA, DevOps, and product teams to deliver end-to-end solutions.