Why This Role Stands Out
This role offers a fantastic opportunity to architect and deliver cloud-native microservices, empowering you to own the full software lifecycle and build robust APIs that drive real-time integrations. If you're a mid-senior engineer with a strong Java and Spring Boot background, eager to work with cutting-edge technologies like Kafka and Kubernetes, you'll thrive in this impactful position. Apply today to join a dynamic team and contribute to innovative connected services!
Quick Overview
Job Description
Overview
We are looking for a skilled Software Engineer to design and deliver scalable, cloud-native microservices within our Connected Services platform. You will own the full software lifecycle — from architecture through deployment — building robust APIs and event-driven systems that power real-time device and data integrations.
Responsibilities
- Design and develop RESTful and event-driven microservices using Java 17+ and Spring Boot 3
- Build and maintain integrations with IoT devices, third-party APIs, and connected platforms
- Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming
- Write clean, testable code with JUnit, Mockito, and integration test suites
- Collaborate with product and DevOps on CI/CD pipelines using Docker, Kubernetes, and Helm
- Participate in architecture reviews and define best practices for the team
Required Skills
- 5+ years with Java and the Spring Boot ecosystem; Java 17+ preferred
- Strong knowledge of Spring Cloud, Spring Security, and Spring Data JPA
- Experience with Kafka, RabbitMQ, or similar messaging technologies
- Familiarity with OAuth 2.0, JWT, and API security patterns
- Proficient with SQL/NoSQL databases, including PostgreSQL, MongoDB, and Redis
- Hands-on with Docker and Kubernetes in cloud environments (AWS, GCP, or Azure)
- Contributions to open-source Java or Spring Boot projects
Nice to Have
- Experience with MQTT, AMQP, or CoAP for IoT device communication
- Knowledge of OpenAPI / Swagger specification and contract-first design
- Exposure to service mesh technologies, including Istio and Linkerd, and observability tooling
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