Key Responsibilities

• Design and develop robust backend services and APIs that power audio and data-driven products, with clean interfaces and scalable architectures.
• Build and maintain ETL/ELT workflows and data pipelines to support real-time user applications.
• Implement service endpoints and backend components, including Python-based microservices, function-based workloads, and distributed applications.
• Develop reliable, production-ready cloud services on GCP , deploying with services like Cloud Run, Cloud Run Functions, GKE, etc.
• Create reusable modules and shared libraries to help organize and streamline development across the Data and Commercialization team.
• Prototype new AI product capabilities and transform validated concepts into maintainable production services.

Qualifications

• Strong, hands-on experience deploying services on Google Cloud Platform with tools like Cloud Run, GKE, Pub/Sub, Dataflow, among others.
• Hands-on experience with GCP AI services like the Vertex AI suite is a plus.
• Strong experience using modern relational and NoSQL database solutions, with proficiency in data manipulation languages like SQL and Python.
• Our solutions span across multiple storage technologies, including BigQuery, Firestore, Postgres, and more.
• Experience developing robust, maintainable REST APIs and an understanding of scalable service architecture and backend development best practices.
• Familiarity with GCP networking concepts that ensure secure frameworks for the deployment of data products.
• Comfort working through ambiguity, collaborating effectively, iterating quickly, and shaping early-stage service designs.
• Driven mindset, ready to establish secure and efficient patterns that will streamline the development process of a team at the cutting edge of AI and data.