Principal Engineer

Job Description:Key Responsibilities N4 and EVP Systems, Business Domain Model & Ownership Lead and evolve the architecture of the N4 and EVP platforms for scalability, high-availability, integration, and security. Implement and enhance relational to no-SQL transformations, preferably Cassandra. Ensure robust performance and compliance, meeting the demands of mission-critical logistics operations in a high-velocity setting. Own the full lifecycle delivery from requirements through deployment and post-production support. Hands-on Software Engineering Write production-grade code, build reusable frameworks, and implement complex business logic using Java, Spring Boot, Hibernate/JPA, Debezium and Kafka integration Advance N4 data models, APIs, and services, powering automation, inventory control, and seamless integrations. Test driven development to ensure automated unit and integration tests are carefully designed and implemented as part of the deliverables. Distributed Systems Mastery Architect and maintain both traditional JEE stack, and event-driven, microservices-based architectures using Kafka, Spring Boot and ActiveMQ (JMS). Ensure reliability, fault-tolerance, and message integrity in global deployments. Familiarity with load balancing scalability concepts in relational and non-relational database models. Complex Problem Solving Lead “war room” sessions to address distributed system failures, bottlenecks, deadlocks, and memory leaks using advanced debugging and profiling methods. Database & ORM Expert in database administration for SQL (PostgreSQL, SQL Server, and Oracle) and NoSQL (Mongo and/or Cassandra) platforms. Design and optimize highly available schemas for large-scale, high-concurrency transaction volumes. Deep understanding of object-relational mapping concepts and efficient data access strategies. UI Skills Guide and contribute to intuitive, data-rich user interfaces for logistics and terminal operators. Ensure seamless integration between front-end and back-end architectures. AI & Analytics Integration Architect data pipelines for analytics platforms, enabling AI/ML-based predictive features and operational intelligence. Security & Data Governance Implement and promote best practices in authentication (OAuth2), encryption, and compliance (OWASP), safeguarding sensitive logistics data. Stakeholder & Cross-Functional Leadership Collaborate effectively with both senior and junior engineers, cross-discipline teams (US/India), QA, Product, and customers. Engage directly with enterprise customers, including operational leaders and IT teams, to capture business requirements, address technical challenges, and support solution delivery. Ensure high-quality documentation, efficient testing, and transparent progress reporting. Mentoring & Knowledge Sharing Mentor and coach engineers of all levels; foster a collaborative, high-performance, and innovative team culture. 🛠 Technical Toolkit Core Backend: Expert in Java (17+), J2EE, Spring Boot, Spring Security, Hibernate/JPA. Messaging & Distributed Systems: Deep knowledge of Kafka and ActiveMQ (JMS), microservices, orchestration, caching, distributed debugging. Data Management & Analytics: Advanced skills in SQL, NoSQL (PostgreSQL, Oracle, MongoDB, Cassandra), Power BI integration, and database administration. ORM & Data Access: Deep experience with object-relational mapping tools and methodologies. UI Development: Exposure to modern UI frameworks, building intuitive enterprise interfaces. AI / ML Integration: Experience integrating AI/ML workflows and developer productivity tools (e.g., GitHub Copilot, Cursor). 🎓 Requirements & Qualifications Bachelor's or master's degree in computer science or related discipline. 15+ years professional software development; minimum 10 years as principal architect/engineer. Proven record of leading and delivering large-scale enterprise software products; direct logistics domain experience a plus. History of collaborating and communicating effectively with both senior and junior engineers. Demonstrated experience working directly with enterprise customers and their operational and IT teams to deliver solutions that meet real-world requirements. Advanced analytical skills for fast-paced, ambiguous, and critical technical challenges. Self-motivated, adaptable, and eager to learn new technologies and industry trends. Mastery of algorithms, data structures, design patterns, database administration, object-relational mapping concepts, and UI development. Strong distributed debugging capabilities. Demonstrated ability to drive initiatives independently and keep global stakeholders well-informed. Experience with supply chain, yard management, warehouse, or port/logistics technology is a significant advantage. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply Now