Java Backend Engineer

Role Overview

The Java Backend Engineer is responsible for designing, developing, and maintaining scalable and resilient backend systems, primarily supporting eCommerce and merchandising applications. The role involves close collaboration with product managers, designers, frontend engineers, and third-party vendors to deliver high-quality backend solutions that meet business requirements.

Key Responsibilities

• Design, develop, and maintain backend eCommerce and merchandising applications.
• Build and maintain microservices using modern Java frameworks.
• Collaborate with product managers and designers to translate business requirements into technical stories.
• Work with frontend teams and third-party vendors to define and implement API contracts.
• Deploy and manage applications using cloud platforms with hybrid deployment models.
• Monitor application performance, analyze logs and metrics, and resolve production issues while meeting SLAs.
• Review code and proactively propose improvements for upcoming features.
• Ensure code quality through testing and adherence to development best practices.

Required Hard Skills (Technical)

• Java 17 or higher; Spring Boot; WebFlux (reactive programming).
• Microservices and event-driven architectures.
• REST API design including authentication, HTTP verbs/status codes, and Swagger documentation.
• Databases: Oracle, PostgreSQL.
• Messaging systems: Kafka, RabbitMQ (publish/subscribe).
• Cloud platforms: Azure and GCP (hybrid deployments).
• Kubernetes: deployments, services, pods, StatefulSets, ConfigMaps, secrets.
• CI/CD tools: GitHub Actions, Jenkins.
• Version control using Git.
• Testing: JUnit and Mockito.
• Dependency management: Maven or Gradle.

Required Soft Skills

• Strong collaboration and communication skills across cross-functional teams.
• Ability to translate business requirements into technical stories and tasks.
• Analytical and problem-solving skills using logs, metrics, and monitoring tools.
• Proactive mindset for code review and solution proposal.

Desired / Nice-to-Have Skills

• Additional programming languages: Python, Go, Kotlin.
• Java 21.
• NoSQL databases: Cassandra, MongoDB.
• Monitoring and observability tools: Grafana, Prometheus, GCP monitoring data.