Principal Specialist, Software Developer - Java , Springboot
Raytheon Technologies Corporation (RTX)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, metro Bangalore, and popular Java backend/full-stack role attract many applicants.
Core Java, Spring, and REST backend skills are highly transferable across industries.
Explicit 7+ years requirement plus mandatory Java/Spring/SQL and testing skills enforce strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and maintain scalable backend applications using Java, Spring Boot, REST APIs, and Microservices architecture within the DW2W2C Portfolio.
Translate business requirements into technical solutions focused on performance, scalability, security, and maintainability, including API integrations and enterprise application services.
Troubleshoot and resolve complex application issues, perform root cause analysis, support production and preproduction systems, and maintain technical documentation.
Minimum Requirements
Bachelor's degree in Computer Science, Software Engineering, IT, or related field with 7+ years hands-on experience; or Master's degree with 5+ years experience.
Proficiency in Java 8/11/17+, Spring Boot, Spring MVC, Spring Security, REST API, Microservices, Hibernate/JPA, SQL (Oracle/PostgreSQL/SQL Server), JUnit, Mockito, Git, and CI/CD tools.
Experience in backend development, application troubleshooting, and API integration with Angular teams.
Hybrid role based in Bengaluru, India; ability to attend customer meetings outside normal business hours due to different time zones.
Ideal Candidate Profile
Experienced in developing and integrating complex backend systems using Java and Spring ecosystem with strong understanding of Microservices architecture.
Capable of handling production support and troubleshooting in a large-scale enterprise environment, including interacting with cross-functional teams.
Familiar with Agile methodologies and practices, with exposure to DevOps tools like Docker, Kubernetes, and cloud platforms (AWS/Azure) preferred but not mandatory.