Full Stack Developer

Key Responsibilities

Backend Development: Develop, test, and maintain robust backend services and APIs using Java, Spring Boot, and Node.js. Event-Driven Architecture: Design, integrate, and manage asynchronous messaging and event-driven systems using Message Queue (MQ) platforms like Kafka, RabbitMQ, or similar. Database Management: Design, implement, and maintain scalable data models using both relational (Oracle DB) and NoSQL (MongoDB) databases.

Frontend Support: Contribute to and maintain responsive user interfaces using HTML, CSS, TypeScript, and Angular as project needs dictate. Infrastructure & Deployment: Develop, containerize, and deploy applications in Dockerized environments. Quality Assurance: Write rigorous unit and integration tests following Test Driven Development (TDD) principles to ensure system reliability.

Collaboration: Work seamlessly with product managers, designers, and other engineers to deliver high-quality features. Agile Participation: Actively participate in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives. Continuous Improvement: Solve problems with a proactive mindset, communicate effectively across departments, and willingly challenge the status quo to improve our tech stack.

Must-Have Skills: Backend Engineering: Strong proficiency in Java and Spring Boot. Message Queuing (MQ): Hands-on experience with Kafka, RabbitMQ, ActiveMQ, or other messaging/event-streaming platforms. APIs & Integration: Deep understanding of RESTful services, GraphQL, and Node.js. Databases: Experience with both Relational (Oracle DB) and NoSQL (MongoDB) database systems.

Frontend (Secondary): Working knowledge of frontend development using HTML, CSS, TypeScript, and Angular. Infrastructure: Experience with Docker. Development Practices: Proven experience with Test Driven Development (TDD) and Agile methodologies. Soft Skills: Strong communication, collaborative team player, excellent problem-solving skills, and a mindset to push boundaries and innovate.

Nice-to-Have Skills: Monitoring & DevOps Tools: Experience with Splunk, Dynatrace, Open. Shift, Azure, or GitLab CI/CD Pipelines. Domain Knowledge: Background in Retail, eCommerce, or product data management. Innovation & Research: Exposure to or interest in Artificial Intelligence (AI) integrations.