Description

What's the Job?

• Design, build, and maintain backend services that process real-time data streams and support event-driven architectures.
• Develop and integrate RESTful APIs using Java and Python to enable downstream systems and data workflows.
• Implement reactive, nonblocking services using Spring WebFlux to ensure high-throughput, resilient processing.
• Work with Apache Kafka and Apache Flink to build streaming pipelines, event ingestion, and continuous processing logic.
• Collaborate on AI/agentic components by applying LLM and prompt engineering concepts to backend workflows (as applicable to the team’s approach).

What's Needed?

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
• 4+ years of Java experience, including proficiency with Spring / Spring Boot.
• 2+ years of Python experience focused on backend or data-driven development.
• Deep understanding of reactive programming, including hands-on experience with Spring WebFlux.
• Hands-on experience with Apache Kafka for event-driven architectures and experience with Flink for stream processing and data pipelines.

What's in it for me?

• Opportunity to work on real-time backend systems that combine streaming data, reactive services, and modern API development.
• Chance to apply AI/LLM and agentic concepts in a backend context, where your engineering decisions directly impact system behavior.
• Work with both NoSQL and RDBMS data stores, including MongoDB and Oracle, to build end-to-end solutions.
• Engage in a focused 30-minute Teams interview process and move quickly toward next steps.
• Potential for extension up to 24 months and/or conversion, with conversion eligibility preferred

Key Skills

Education

Any Graduate