Java Software Engineer

A company specializing in artificial intelligence for maritime risk monitoring has developed a prediction engine and insights platform for the maritime trade and insurance industries. The platform provides real-time data and insights about vessels at sea, enabling stakeholders in the maritime sector to access intelligence for risk management and gain business and operational insights.

Primarily serving insurance companies for maritime cargo risk assessment, the company also works with shipping firms, government agencies (for identifying suspicious vessels), and energy companies.

Headquartered in Tel Aviv, within walking distance of a train station, the company offers a hybrid work model with three remote workdays per week. It employs 180 people globally, including 130 in Israel, with 60 in R&D. Established 14 years ago, the company is well-established and growing.

Role Overview:

• Lead the design, development, and maintenance of efficient and scalable data pipelines, facilitating data collection, processing, and transformation from diverse sources
• Implement real-time data streaming solutions using Kafka, ensuring timely data ingestion and availability
• Utilize Java, including Spring Boot, to build robust and high-performance data processing services within our data platform
• Collaborate closely with cross-functional teams to comprehend data requirements, identify opportunities for data optimization, and support data-driven initiatives
• Uphold data integrity, reliability, and availability by implementing effective ETL processes and conducting data quality checks
• Leverage AWS services for data storage, processing, and analytics, adhering to security and performance best practices
• Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations

Requirements-

• Bachelor's degree in computer science, Engineering, or any related field
• 4 years of professional experience as a Backend Engineer
• Full proficiency in Java (Spring Boot) and Kafka, with a proven track record of working with micro-services architecture and streaming solutions
• Proficiency in AWS services for data storage, processing, and analytics
• Strong experience in designing and constructing ETL processes for data transformation and integration - advantage
• Demonstrated ability to challenge decisions and work independently
• Strong problem-solving skills and meticulous attention to detail
• Experience with GenAI tools