Senior Backend Engineer (Java/Kafka)

About the Client

Our client is a global leader in maritime risk analytics, revolutionizing the maritime industry with cutting-edge AI technology. They transform complex data into actionable insights, enabling organizations to make mission-critical decisions for security, compliance, and operations.

As an Experienced Backend Engineer, you will play a pivotal role in the design, development, and maintenance of the company's data platform. This platform supports critical data-driven decision-making throughout the organization. You will work closely with cross-functional teams, including data scientists, analysts, and other software engineers, to ensure smooth data flow and optimize services.

Key Responsibilities

• Utilize Java, including Spring Boot, to build robust and high-performance data processing services within the data platform.
• Implement real-time data streaming solutions using Kafka to ensure timely data ingestion and availability.
• Collaborate with cross-functional teams to understand data requirements, identify opportunities for optimization, and support data-driven initiatives.
• Lead the design, development, and maintenance of scalable data pipelines to collect, process, and transform data from diverse sources.
• Leverage AWS services for data storage, processing, and analytics, ensuring adherence to security and performance best practices.
• Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations.
• Ensure data integrity, reliability, and availability by implementing ETL processes and performing data quality checks.

Main Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• A minimum of 5 years of professional experience as a Backend Engineer.
• Full proficiency in Java (specifically Spring Boot) and Kafka, with experience in developing microservices architecture and streaming solutions.
• Proficiency in Generative AI (GenAI) and Large Language Model (LLM) tools.
• Expertise in AWS services for data storage, processing, and analytics.
• Experience in designing and implementing robust ETL (Extract, Transform, Load) processes for data transformation and integration.
• Good working knowledge of Python.
• Familiarity with data processing technologies like Spark is a significant advantage.
• Experience with MySQL is required; experience with SingleStore is a significant advantage.

Key Skills

• Exceptional problem-solving skills and attention to detail.
• Ability to work independently and take ownership of tasks.
• Excellent communication skills in English, both written and verbal.
• Proactively engaged with LLM and AI tools (e.g., Claude) throughout the development lifecycle.