The Mission
At Truflation, we're building the future of financial data. Our decentralized systems are at the heart of this mission, designed to ingest, compile, and transform critical data points like our flagship US inflation index. As we're navigating a rapidly evolving financial landscape, we're seeking an exceptional back end developer to join our elite team, sculpting the way financial information empowers decisions.
The Role
- Utilize your expertise in Python and Golang to move functionality written in Python to Go
- Manage application state effectively using state management patterns and libraries, specifically Pinia.
- Integrate with RESTful or GraphQL APIs using Axios for data retrieval and interaction with backend services like Supabase and Moralis for comprehensive backend functionalities.
- Champion code quality, advocating for refactoring, reorganization, and enhancement of code clarity through best practices and peer reviews.
Basic Qualifications
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience in front-end development.
- Demonstrated ability to integrate with APIs and familiarity with backend services like Supabase.
Preferred Qualifications
- Strong problem-solving skills, attention to detail, and the ability to work autonomously and in a team environment.
- A passion for well-designed code, with a relentless drive to refactor and improve both functionality and readability.
- Excellent communication skills, capable of working closely with both technical and non-technical team members to bring complex projects to life.
Culture And Values
Mirroring the top-tier practices of companies like Netflix, we firmly believe in hiring only the best. We foster a culture of innovation, continuous learning, and the pursuit of excellence. We expect you to challenge and be challenged, to create, and to innovate. Join us, and be a pivotal part of our journey in reshaping the financial data world. Interested? We'd love to hear from you. Apply now and redefine the future of financial data with us.
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