Senior Backend Engineer - Remote

Overview

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

In Short

• Freight Analytics: Creating tools to analyse freight metrics and market dynamics.
• Congestion Tracking: Developing systems for real-time port and canal congestion monitoring.
• Fleet Management: Building solutions to monitor vessel availability, fleet utilisation, and development.
• Voyage Planning: Designing automated tools for vessel matching and cost-effective voyage planning.
• Data Integration: Enhancing data access through APIs, SDKs, and other platforms.
• The Freight Crew’s work ensures efficient logistics and informed decision-making across the maritime industry.
• Ensure Product Alignment: Develop features and solutions that meet the strategic goals and needs of the business.
• Deliver High-Quality Code: Write, test, and maintain robust, scalable, and efficient code that follows best practices.
• Maintain Operational Excellence: Ensure systems are reliable, performant, and maintainable in production.
• Guide and Mentor Team Members: Support the growth of other engineers through coaching, knowledge sharing, and code reviews.

Requirements

• A Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• At least 5 years of experience with Scala, Java, Node.js, or Python, and proficiency in building and consuming RESTful APIs.
• Strong command of written and spoken English.
• Experience with unit testing, clean code practices, SOLID principles, and software design patterns.
• Proficiency in relational databases (MSSQL, PostgreSQL) and cloud platforms (AWS, GCP or Azure).
• Familiarity with CI/CD processes, including GitLab pipelines and tools like SonarQube.
• Proven experience with Git and Docker.

Benefits

• Experience in ElasticSearch.
• Familiarity with event streaming technologies like Kafka.
• Familiar with Hexagonal software architecture and distributed systems architecture.
• Experience with other engineering fields such as Data Engineering.