Fullstack Developer - SOL-1463

This is a remote position.

The Role:

We're searching for a driven and talented full-stack developer to join our founding team. You'll be instrumental in building our core applications from the ground up. This is a unique chance to shape a product, contribute to our company's growth, and have a significant impact on the future of AI-powered fintech.

We are looking for highly motivated and talented professionals who are eager to make an impact. This role offers a unique opportunity to be part of a team with a proven track record of taking software companies public on the NYSE. As part of our founding team, you’ll have the chance to contribute directly to our mission and potentially receive equity as the company grows. We are seeking developers who are passionate, dedicated, and committed to building something extraordinary.

Responsibilities:

Full-Stack Development: Take ownership of feature development across the entire stack using Java, Spring Boot, Hibernate, and React.

Collaboration: Partner with a small, highly skilled team of offshore developers, providing guidance and ensuring top-notch code quality.

Problem Solving: Tackle technical challenges head-on and find innovative solutions.

Communication: Clearly communicate technical concepts to both technical and nontechnical team members.

Requirements

Experience: +5 years of professional experience in full-stack development, ideally with some exposure to the fintech industry. (70% backend, 30% frontend).

Technical Skills:

Java backend: Strong proficiency in Java with experience using Spring Boot and Hibernate.

React.js frontend: Proven experience building modern front-end applications with React.

Databases: Experience with SQL databases.

API Design: Understanding RESTful API principles.

Advanced written and spoken English fluency is a MUST (C1 or C2).

Nice to have:

Python: Proficient in Python, including data structures (lists, dictionaries), control flow, functions, object-oriented programming, and data manipulation using data frames with libraries like Pandas.

AI/ML: Familiarity with machine learning concepts and libraries (e.g., TensorFlow, PyTorch) or experience integrating AI capabilities.

Familiarity with AWS or other cloud platforms, testing frameworks (JUnit, Mockito), and CI/CD pipelines.

Soft Skills:

Communication: Excellent written and verbal communication skills.

Collaboration: Ability to work effectively in a team.