Job Description

We are developing an AI-powered warehouse automation system where multiple cameras capture images of packages, store them on Servers , and process them through three AI models. The AI models return results in JSON format , which are stored in a database and provided to auditors via a web-based application.

To build a scalable and efficient system , we are adopting a Java-based Microservices Architecture (MSA). We are looking for a highly skilled Back-End Developer with expertise in Spring Boot, RESTful APIs, WebSockets, event-driven systems, and cloud-native architectures.

Key Responsibilities:

• Design & Develop Microservices: * Implement scalable, high-performance microservices using Spring Boot. * Develop RESTful APIs and WebSocket communication for real-time data streaming. * Integrate AI model services to handle real-time JSON data processing. * Ensure modularity and independence of services to support scalability and maintainability.
• Service Communication & Integration: * Implement inter-service communication using REST, gRPC, and Kafka/RabbitMQ. * Manage asynchronous messaging for AI model requests and results processing. * Develop real-time WebSocket-based messaging for UI interactions and live updates. * Integrate with external storage solutions for image management and AI processing workflows.
• Database & Data Management: * Design and optimize relational (PostgreSQL/MySQL) and NoSQL (MongoDB/Elasticsearch) databases. * Implement data caching strategies using Redis to improve response times. * Develop efficient queries and indexing strategies for fast data retrieval.
• Security & API Management: * Implement OAuth2, JWT authentication, and Role-Based Access Control (RBAC). * Ensure secure API development and protect against vulnerabilities (OWASP standards). * Secure WebSocket connections and manage authentication for real-time data streaming.
• Performance Optimization & Monitoring: * Optimize system performance through profiling, load balancing, and caching mechanisms. * Implement observability tools like Prometheus, Grafana, ELK Stack, and Zipkin. * Design fault-tolerant mechanisms for service recovery and failover strategies.
• CI/CD & Cloud Deployment: * Implement CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD. * Deploy microservices in Docker containers and manage orchestration using Kubernetes (K8s). * Work with Terraform/Ansible for infrastructure automation.

Qualifications

Required Qualifications & Skills:

• Programming:

• Strong proficiency in Java 9+ with hands-on experience in Spring Boot & Spring Cloud.

• Experience with Reactive Programming (Spring WebFlux) for handling AI service calls efficiently.

• Microservices & API Development:

• Experience designing, developing, and deploying RESTful APIs & gRPC-based microservices.

• Strong understanding of Event-Driven Architecture (Kafka/RabbitMQ).

• Hands-on experience implementing WebSockets for real-time communication.

• Database & Storage:

• Expertise in SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).

• Experience with distributed caching mechanisms (Redis, Memcached).

• Security & Performance:

• Experience implementing OAuth2, JWT, API Gateway Security (Spring Security, Keycloak).

• Knowledge of scalability techniques, load balancing, and distributed systems.

• DevOps & Cloud Technologies:

• Hands-on experience with Docker, Kubernetes, Helm for deployment.

• Experience with CI/CD automation (Jenkins, GitHub Actions, GitLab CI/CD).

• Knowledge of cloud platforms (AWS, GCP, SCP, or Azure).

• Monitoring & Logging:

• Familiarity with Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring and log analysis.

• Experience in distributed tracing tools like Zipkin/Jaeger.

Preferred Qualifications:

• Experience in AI/ML model integration & real-time data processing.
• Familiarity with warehouse automation, IoT devices, or logistics applications.
• Knowledge of serverless computing (AWS Lambda, Google Cloud Functions, Azure Functions).
• Experience with WebSocket security, scalability, and authentication best practices.

Additional Information

All your information will be kept confidential according to EEO guidelines.