Software Engineer (Level 3)

FJA-US Inc.•Boca Raton, FL

1d•$100,000 - $145,000•Hybrid

About The Position

We build software systems that operate in complex, highly regulated healthcare environments where correctness, reliability, and real-world impact matter. Our systems support critical business processes and data workflows across organizations that depend on accuracy and operational stability. Our applications span backend services and user-facing interfaces, built on modern, distributed architectures. We partner closely with clients to evolve these systems in real-world operating environments. We're hiring a mid-level Software Engineer (L3) to contribute to features from the backend through the frontend of our insurance platform. Today the backend is Java and the frontend is React/TypeScript, but the stack isn’t static. Engineers contribute to its future direction, helping choose the right technology for each project. Engineers use AI to assist with design, coding, and reviews. You are expected to understand the work and take ownership of your contributions. The tools support the work, but you are responsible for the result.

Requirements

High School Diploma or equivalent is required.
Minimum 5 years of professional software development experience, including:
Software development experience in a distributed, microservices-based environment, including:
Backend development using Java, Spring Framework and related technologies, RESTful web services, and database technologies (SQL and/or NoSQL)
Or a combination of backend and frontend development experience using modern JavaScript frameworks
Writing, reviewing, testing, and validating code with full accountability for correctness, performance, and maintainability
Evaluating system-wide impact including dependencies, downstream effects, and cross-system interactions before making changes
Delivering in distributed, containerized environments, with a clear understanding of how systems build, deploy, and behave across environments
Working with agile development methodologies, version control, test-driven development, and automated testing
Minimum 3 years of professional experience, including:
Demonstrated experience developing and maintaining React-based frontend applications (React / TypeScript) using modern JavaScript and TypeScript development practices
Experience using AI-assisted development tools to improve efficiency, paired with the judgment to critically evaluate and validate output, and responsibility for the quality of what ships.
Active, valid, and unrestricted authorization to work in the United States at the time of hire and throughout employment, without any sponsorship, petition, or support from the Company.

Nice To Haves

A degree in computer science, software engineering or related field is preferred.

Responsibilities

Contribute to features from the backend through the frontend of our insurance platform.
Contribute to the future direction of the technology stack, helping choose the right technology for each project.
Use AI to assist with design, coding, and reviews.
Understand the work and take ownership of contributions.
Set the bar for what good AI-amplified development looks like.
Model when to lean on AI tools, when to slow down and validate, and how to stay fully accountable for everything that ships.
Mentor others into AI-amplified development practices.
Build and maintain applications across a Java-based backend and React-based frontend, designed for performance, scalability, and reliability within a distributed, microservices-oriented and containerized architecture.
Work closely with product, engineering, and cross-functional teams to ensure alignment and coordinated delivery across systems.
Emphasize disciplined engineering practices, including thoughtful system design, code review, and testing to support maintainability and long-term system health.
Understand dependencies, evaluate cross-system impacts, and take ownership of how changes affect build processes, deployments, and runtime behavior across environments.
Validate all work to ensure accuracy and reliability prior to integration.
Maintain full accountability for how code behaves in production.
Contribute through code reviews, collaboration, and sharing knowledge with the team.