Senior Software Engineer (Python/Flask+React) - Remote, Latin America
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.
Technical Qualifications
- Backend: 5+ years of experience with Python (Flask, FastAPI, Django) and building complex, service-oriented server logic.
- Frontend: Modern JavaScript/TypeScript development utilizing ReactJS for scalable interactive web applications.
- Data Access: Heavy experience with relational databases (PostgreSQL), data storage systems, and advanced data-access models.
Core Responsibilities:
- Full-Stack Ownership: Architect, test, and ship end-to-end full-stack software solutions to fulfill complex financial reporting and data visualization needs.
- Optimization: Refactor existing software continuously using Agile methodologies to improve overall maintainability and speed.
- Collaboration: Partner with product managers and data engineering teams to safely extract, parse, and serve multi-billion-dollar private asset analytics.