Softgic
Digital and Cognitive Transformation.
Full-Stack Developer, Java, Spring Boot, Hibernate, React
Backend EngineerSoftware EngineerFull TimeRemoteTeam 51-200Since 2011H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
90 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishAWSCloudHibernateJavaJava ScriptJunitMockitoPandasPythonPy TorchReactSpringSpring BootSpring BootSQLTensorflow
Job Description
• Full-Stack Development: Own feature development across the entire stack using Java, Spring Boot, Hibernate, and React.
• Backend Focus: Work primarily on backend development (approximately 70% backend / 30% frontend).
• Collaboration: Partner with a small, highly skilled offshore development team, providing technical guidance and ensuring high-quality code.
• Problem Solving: Address complex technical challenges and design scalable, innovative solutions.
• Communication: Clearly communicate technical concepts to both technical and non-technical stakeholders.
• Architecture & Quality: Contribute to architectural decisions and maintain high standards for security, scalability, and maintainability.
Job Requirements
- Experience: 5+ years of professional experience in full-stack software development, ideally with exposure to fintech or regulated environments.
- Strong Backend Skills: Proven experience building backend systems with Java.
- English Proficiency: Advanced written and spoken English (C1 or C2) is mandatory.
- Startup Mindset: Comfortable working in a fast-paced, evolving startup environment.
- Technical Skills Backend: Strong proficiency in Java.
- Hands-on experience with Spring Boot and Hibernate.
- Solid understanding of RESTful API design principles.
- Experience with SQL databases.
- Frontend: Proven experience building modern web applications using React.js.
- Ability to integrate frontend applications with backend services.
- Nice to Have Python: Proficiency in Python, including data structures, control flow, functions, object-oriented programming, and data manipulation with Pandas.
- AI / ML: Familiarity with machine learning concepts or libraries such as TensorFlow or PyTorch, or experience integrating AI-driven features.
- Cloud & DevOps: Experience with AWS or other cloud platforms.
- Testing: Experience using testing frameworks such as JUnit and Mockito.
- CI/CD: Familiarity with CI/CD pipelines.
Benefits
- Soft Skills
- Communication: Excellent written and verbal communication skills.
- Collaboration: Strong ability to work effectively in a team.
- Problem Solving: Analytical mindset with the ability to handle ambiguity.
- Adaptability: Thrives in a fast-paced startup environment.
- Passion: Strong enthusiasm for technology, fintech, and building impactful products.
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