Summary
A software engineering role focused on backend development, cloud-native architectures, event-driven systems, automation, and full-stack collaboration within complex enterprise environments.
Highlights
Opportunity to build modern enterprise applications using cloud-native technologies, distributed systems, and advanced development practices.
Description
Core Technical Skillset:
Our current technology stack forms the foundation of our work.
Proficiency or strong experience in the following areas is highly desirable:
Backend Development:
Java: Deep understanding of Java (latest LTS versions preferred).
Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud).
Messaging Systems:
Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems.
Containerization & Orchestration:
Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes.
OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage.
AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant.
(General Docker knowledge is expected)
CI/CD & DevOps:
GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation.
Understanding of Git branching strategies and DevOps principles.
Frontend Development:
JavaScript: Strong proficiency in modern JavaScript (ES6+)
React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks).
Database & Data Warehousing
Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL
.Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture.
Scripting
Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary)
Domain Understanding (Transportation & Logistics):
While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively.
They can better grasp the business context and user needs
Additional Valuable Skills
We are also interested in candidates who may possess skills in related areas that complement our core activities:
Data Science & Analytics
