Join a fast‑moving engineering team building high‑performance backend services while gaining hands‑on experience with generative AI. This position offers the chance to deepen core Java expertise and contribute to AI‑driven features.
What You’ll Do
- Architect, build, and maintain scalable Java 17+ microservices using Spring Boot.
- Deploy containerized services on Docker and Kubernetes/OpenShift environments.
- Design and optimize schemas; write efficient SQL/NoSQL queries for PostgreSQL, Oracle, MongoDB, Cassandra.
- Create and maintain CI/CD pipelines; automate testing with JUnit and Mockito.
- Integrate LLM APIs (OpenAI, Anthropic) and Java GenAI libraries into backend services.
- Collaborate with product, architecture, and frontend teams to deliver AI‑enhanced features.
What You Need
- 5+ years Java backend development, Java 11/17+, multithreading and design patterns.
- Deep experience with Spring Boot, Spring Cloud, Spring Data, Spring Security.
- Strong RESTful API design and consumption.
- Proficient in SQL (PostgreSQL, MySQL, Oracle) and Hibernate/JPA.
- Git version control and Maven or Gradle build tools.
- Bachelor’s degree in Computer Science or related field (or equivalent experience).
Good to Have
- Cloud platform experience (AWS, GCP, or Azure).
- Familiarity with Kafka or RabbitMQ messaging.
- Built a Retrieval‑Augmented Generation or chatbot prototype.
- Basic Python for AI scripting (optional).
The Opportunity
The role blends core Java engineering with hands‑on work on generative AI, letting you contribute to real‑world LLM integrations while advancing your backend skill set.