You will spend the majority of your time designing robust cloud platforms, data pipelines, and infrastructure, while actively developing applications, APIs, and AI prototypes to run on those systems....This is a rare opportunity to work at the cutting edge of audio, automation, and AI inside a fast-paced media environment....Coordinate with Platform Engineering and DevOps to establish secure deployment routes, manage infrastructure as code (IaC), and oversee CI/CD pipelines.
• Data Architecture & Movement: Design and manage data integrations, robust ETL pipelines, and NoSQL/SQL database schemas (e.g., Firestore, BigQuery) to support complex data ingestion, movement, and intelligent applications.
• Application Development & AI Integration (40%): Act as the hands-on technical lead to build intelligent applications and APIs....Develop rapid prototypes and proofs-of-concept integrating Generative AI (Google Vertex AI, OpenAI) to validate new business ideas.
• Operationalization & Scale: Transition successful prototypes into maintainable production solutions, ensuring high performance, proper logging, and architectural reliability.
• Cross-Functional Teaming & Agile Leadership: Collaborate across engineering, data science, product, and business stakeholders....Proven experience working with DevOps, implementing CI/CD deployment pipelines, and using Infrastructure as Code (IaC) tools like Terraform.
• Data Engineering Expertise: Proven experience with data movement, organization, and integration, including building ETL pipelines and working with NoSQL databases (e.g., Firestore) and data warehouses (e.g., BigQuery).
• Software Development Skills: Strong programming fundamentals with an emphasis on web and AI-driven application development (e.g., Node.js, Python, Java, or C#) and experience developing and consuming modern RESTful APIs.
• Applied AI Integration: Familiarity with AI/ML concepts and hands-on experience integrating with platforms like Google Vertex AI or OpenAI, including practical knowledge of prompt management and RAG (Retrieval-Augmented Generation) architectures.
• Excellent communication and collaboration skills, with a proven ability to work independently in fast-paced and ambiguous enviro