ABOUT THIS FEATURED OPPORTUNITY
We are looking for a highly skilled Java Backend Engineer to join our fast-paced engineering team. This role centers around implementing complex business logic into data pipelines sourced from Oracle, and scaling backend services to support a high-impact AI initiative. You'll be responsible for creating design documents, collaborating with QA and DevOps, and ensuring seamless deployment into production. This is a high-visibility opportunity where you will help manage and evolve the API structure for a web services platform with over 400 APIs.
THE OPPORTUNITY FOR YOU
This is your chance to work on a large-scale enterprise system where your contributions will directly shape mission-critical backend services. You will build and scale data pipelines, index data into AI-driven systems, and implement robust business logic from Oracle sources. Your work will involve hands-on development with Java, Spring Boot, Kafka, and OracleDB, and you will collaborate closely with cross-functional teams (QA, DevOps, Architects) to ensure smooth, end-to-end delivery to production. This is a rare opportunity to leave your mark on a major web services project with significant business visibility.
KEY SUCCESS FACTORS (top 3 must haves)
7+ Years of Enterprise Java Experience
Proficient in core Java with deep understanding of multithreading and Java memory models.
Proven ability to write thread-safe code and synchronize data effectively.
Hands-on experience building large-scale distributed systems.
Spring Boot Expertise
Strong working knowledge of Spring Boot (version 3 or higher).
Experience integrating Spring applications with Oracle and Kafka.
Understanding of Spring caching and internal application behavior.
Distributed Systems & Messaging Experience
Solid hands-on experience with Apache Kafka (topics, consumers, partitions).
Familiarity with writing performant APIs and managing API structures.
Practical experience working with OracleDB, including JPA.
NICE TO HAVES
Exposure to NoSQL and indexing technologies such as Cassandra, Solr, or Graph Databases.