Position Overview:
We are looking for a Java Developer with experience in designing and developing microservices-based backend applications and integration services on Google Cloud Platform.The ideal candidate will have solid experience building scalable, distributed systems using Spring Boot, REST APIs, and integration frameworks, with exposure to Order Management Systems (OMS) and Inventory Management Systems (IMS). You’ll work closely with product, architecture, and operations teams to deliver robust solutions that enable seamless omnichannel retail experiences.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
Design, develop, and maintain Java microservices to support retail business functions such as order processing, inventory updates.
Develop and manage RESTful APIs and message-driven services using ActiveMQ, JMS, or Kafka.
Collaborate with architects to ensure high availability, scalability, and security of services.
Support CI/CD deployments and containerized environments (Docker/Kubernetes).
Troubleshoot and resolve production issues in coordination with operations teams
Basic Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
4+ years of professional Java development experience (Java 8 or above).
Strong in Spring Boot, Spring Cloud, and microservices architecture.
Experience developing and consuming RESTful APIs.
Hands-on with integration frameworks.
Solid understanding of retail system integrations — OMS, IMS or ERP is highly desirable.
Experience with message brokers (Kafka, ActiveMQ, JMS).
Strong SQL/NoSQL database skills (MySQL, PostgreSQL, etc.).
Proficient with CI/CD pipelines, Git, Docker, and Kubernetes.
Strong problem-solving and analytical skills, with attention to performance optimization.
Preferred Skills:
Experience with OMS, Oracle Retail, Manhattan, or similar retail order management systems.
Familiarity with inventory synchronization, fulfillment logic, and supply chain workflows.
Knowledge of API Management tools (Apigee, Kong, AWS API Gateway).
Exposure to cloud platforms (GCP).
Understanding of retail data models and event-driven architectures.