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We're seeking a Software 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.
Job Responsibility:
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 have:
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
What we offer:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing