We're seeking a Senior Java Engineer with 5+ years of experience to help build and scale the backend services that power our content discovery, licensing, and delivery platforms across all of our content libraries.
You'll join a team that's passionate about clean architecture, performance, and solving complex challenges at scale. If you thrive in a collaborative environment and love building robust APIs, data-driven systems, and data modeling we'd love to hear from you.
Responsibilities:
- Design, implement, and maintain backend services using Java, Spring Boot, and the broader Spring ecosystem.
- Build and evolve RESTful APIs that power content metadata, search, recommendation, and licensing workflows.
- Work with Kafka to build event-driven and real-time processing systems.
- Use SQL and work with relational databases to support structured content metadata.
- Partner with data and analytics teams to model data in data warehouses, supporting reporting and analytics use cases.
- Build and maintain DBT models to transform raw data into clean, usable datasets.
- Leverage the AWS ecosystem for service deployment, data storage, and pipeline orchestration.
- Contribute to technical discussions, system design, and code reviews.
Requirements:
- 5+ years of professional backend development experience.
- Strong proficiency in Java, with experience using Spring Boot and Spring Framework.
- Experience designing and consuming REST APIs.
- Familiarity with Kafka or other message streaming platforms.
- Solid understanding of relational databases and writing optimized SQL.
- Comfortable working with GraphQL.
- Exposure to Python or willingness to learn.
- A collaborative mindset with strong communication skills.
- A passion for clean code, scalable systems, and continuous learning.
Nice-to-Haves:
- Practical experience working with data warehouses and DBT for data transformation and modeling.
- Hands-on experience working with the AWS ecosystem (especially Aurora/Dynamo DB).
- Experience working with Node.js and/or Typescript.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with Databricks/Snowflake.
- Background in building systems for search, metadata enrichment, or digital asset management.
We offer*:
*not applicable for freelancers