Software Engineer

Position Description:
As a Full Stack Developer within the Connected Vehicle ecosystem, candidate will be responsible for developing and managing high-quality API solutions that power the CVCEP platform, the CVCEP Chatbot, and critical support tools like the Dealer Software Support Hotline (DSSH). Candidate will utilize Java, Microservices, and Google Cloud Platform (Google Cloud Platform) to build scalable, data-driven features that bridge the gap between vehicle connectivity, dealer support, and the end-customer experience.

Skills Required:
AWS, Google Cloud Platform, Angular, Spring Boot, React, Java, API - Candidate must have knowledge of the list technology stacks. - Candidate must have experience in one or multiple of these technologies for 5+ years or more.

Skills Preferred:
Kubernetes, Microservices - Candidate must have knowledge of these principles. - Experience in these areas is preferred

Experience Required:
5+ years of Java development experience. 3+ years of Spring and Spring Boot framework experience. 3+ years of experience with Software Development tools (Backlog Management (JIRA), Source Code Management (GitHub), Test Management, CI/CD (Tekton/Jenkins/GitHub actions). 3+ years of experience with Test Driven Development and Agile Methodologies. 2+ years of experience with Cloud environments (preferably Google Cloud Platform)

Education Required:
Bachelor''s Degree

Additional Information:
***HYBRID / 4 days per week in the office*** Design and implement robust backend services for CVCEP, ensuring seamless data flow between connected vehicles and customer-facing interfaces. Architect scalable microservices using Java (Spring Boot) to support the high-concurrency needs of connected vehicle platforms. Design and tune Natural Language Understanding (NLU) models to improve the CVCEP Chatbot''s ability to accurately interpret complex customer queries and vehicle-specific jargon. Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on Client technical documentation and owner manuals. Identify and troubleshoot dealer reported issues (DSSH) to find effective solutions and resolve customer facing issues. Ensure the SLA target of 80% case resolution within 48 hours is met. Maintain detailed and accurate records of interactions, feedback, and reported problems in Jira for data harnessing. Ensure all CVCEP and Chatbot APIs comply with Client approved standards by performing rigorous security scanning with 42-Crunch.