Principal Engineer

Key Responsibilities 

N4and EVPSystems,BusinessDomain Model& Ownership 

• Lead and evolve the architecture of the N4and EVPplatformsfor scalability, high-availability,integration,and security. 

• Implement and enhance relational to no-SQLtransformations, 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,Debeziumand Kafkaintegration

• 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, SpringBoot 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'sor master'sdegree incomputer science or related discipline. 

• 15+ years professional software development; minimum10years 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.