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# Core Java Engineer

- **Company:** Sci Solutions Global
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Automation of Tests, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Database Queries, Software Debugging, Google Analytics, Systems Development Life Cycle, TypeScript, Performance Testing, ReactJS, Spring-boot, Maintaining Code, Graphql, Front End Software Development
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/719e9a81-cf97-4679-9e72-d99c41e40479/core-java-engineer

## About the Role

We are seeking a Software Engineer, Core Java to join our dynamic team. The ideal candidate will have strong experience in Core Java, Spring Boot, automated testing, AWS, and component design and a proven ability to design, develop, and deliver secure, high-quality production software and troubleshoot complex issues end to end., * Proficiency in Core Java and Spring Boot, with end-to-end component design experience.

 * Automation and testing tools proficiency for at least 3 years, including unit, integration, and performance testing.
 * Hands-on experience with AWS infrastructure and services.
 * Experience with AI tools for at least 1 year to enhance development or operations workflows.
 * Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages.
 * Knowledge of SDLC, Agile methodologies, CI/CD, application resiliency, and security fundamentals.

Preferred Skills:

 * Experience working across cross-functional teams and creating Java-based support applications.
 * Exposure to cloud-native patterns and broader cloud technologies.
 * Familiarity with front-end technologies such as React, React Hooks, TypeScript, GraphQL, and SPA patterns.
 * Experience using analytics platforms like Google Analytics, Segment, or Amplitude to inform product decisions.
 * Understanding of common UX patterns and performance testing practices.
 * Domain knowledge in financial services systems.