Senior Java Developer

Role Description

We are looking for a Senior Java Developer to join our growing team and contribute to building a new product focused on Container Risk Analysis. As an Experienced Backend Engineer, you will play a crucial role in the design, development, and maintenance of our data platform. This platform supports critical data-driven decision-making throughout the organization.

• Ensure smooth data flow and optimize our services by working closely with cross-functional teams, including data scientists, analysts, and other software engineers.

Qualifications

• 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 a strong background in developing micro-services architecture and streaming solutions.
• Proficiency with Generative AI (GenAI) and Large Language Model (LLM) tools.
• Proactively utilized and consistently engaged with LLM and AI tools (e.g., Claude) throughout the development lifecycle.
• Expertise in AWS services for data storage, processing, and analytics.
• Demonstrated experience in designing and implementing robust ETL (Extract, Transform, Load) processes for data transformation and integration.
• Good working knowledge of Python.
• Experience with MySQL.
• Exceptional problem-solving skills and meticulous attention to detail.
• Ability to work independently and take ownership of tasks.
• Good command of English, both written and verbal.

Requirements

• Familiarity with data processing technologies like Spark.
• Experience with SingleStore.

Responsibilities

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

Benefits

• We value your skills and ensure you’re rewarded accordingly.
• Enjoy 15 days of annual leave to recharge and maintain a healthy work-life balance.
• Fully remote work with a flexible setup.
• Our supportive and approachable HR team is always here to help you thrive.