Software Engineer – Java Spring Boot
Company | Comcast |
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Location | West Chester, PA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
Requirements
- Java (8+) and Spring Boot: Proven experience designing and developing microservices and standalone applications.
- SQL (Oracle): Strong expertise in writing efficient, secure, and optimized queries, procedures, and data access logic.
- NoSQL (Couchbase preferred): Hands-on experience with document-based databases and distributed data models.
Responsibilities
- Design, develop, and maintain Java-based microservices and standalone apps using Spring Boot
- Build secure and scalable RESTful APIs, documented via Swagger/OpenAPI
- Implement monitoring and metrics using Spring Boot Actuator
- Write efficient and secure data access logic using Oracle SQL and Couchbase NoSQL
- Integrate and maintain RabbitMQ-based messaging workflows
- Leverage AWS services for deployment and scheduling of applications
- Collaborate closely with QA, BAs, DBAs, and DevOps for robust, end-to-end delivery
- Use Elastic logs, Kibana, AppDynamics, and internal tools for observability and diagnostics
- Participate in code reviews, testing enforce best practices via SonarQube, and contribute to CI/CD workflows
- Support and improve custom schedulers for managing application execution in AWS
Preferred Qualifications
- RESTful API Development: Proficiency in building secure, scalable APIs with Swagger/OpenAPI documentation.
- Messaging Systems: Experience integrating and maintaining RabbitMQ or similar messaging platforms.
- Monitoring & Observability: Familiarity with Spring Boot Actuator, Elastic logs, Kibana, AppDynamics, and internal diagnostic tools.
- Cloud Deployment (AWS): Experience deploying and managing applications in AWS, including scheduling and custom job execution.
- CI/CD & Code Quality: Active participation in code reviews, test automation, and enforcing standards using tools like SonarQube.
- Experience working in Agile/Scrum environments.
- Familiarity with DevOps practices and collaboration with QA, DBAs, and infrastructure teams.
- Strong problem-solving skills and ability to troubleshoot complex systems in production.
- Excellent communication and collaboration skills.