
51 - 200 employees
Founded 2012
👥 HR Tech
🏪 Marketplace
🎯 Recruiter
💰 Series C on 2024-02
HR Tech • Marketplace • Recruitment
Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.
🔥 3 minutes ago
🌐 Brazil, Argentina, +3 more countries – Remote
⏳ Contract/Temporary
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 11%
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51 - 200 employees
Founded 2012
👥 HR Tech
🏪 Marketplace
🎯 Recruiter
💰 Series C on 2024-02
HR Tech • Marketplace • Recruitment
Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.
• Design and build backend services and APIs in Python from scratch • Implement, maintain, and troubleshoot Bloomberg API integrations for reliable market data ingestion • Design and maintain the application's data layer using PostgreSQL and SQL • Work with Snowflake as the cloud data warehouse • Support and evolve the platform's infrastructure in Microsoft Azure • Design backend components with scalability, reliability, maintainability, and performance in mind • Troubleshoot technical and integration issues in close collaboration with engineering stakeholders • Participate in code reviews and contribute to engineering quality and best practices • Collaborate live with the engineering team during U.S. East Coast working hours • Contribute to the evolution of the platform as it expands beyond the initial MVP
• Strong professional experience with Python, particularly backend and API development • Hands-on experience integrating with the Bloomberg API • Strong knowledge of SQL and PostgreSQL • Experience designing and developing backend systems and APIs in production environments • Ability to work effectively in a greenfield environment, where architecture and infrastructure are being built from scratch • Strong debugging, troubleshooting, and problem-solving skills • Ability to collaborate directly with technical stakeholders and work with a high degree of autonomy • Ability to consistently work U.S. East Coast hours; required due to daily live collaboration with the client team • Professional English communication skills • Experience with Snowflake or similar cloud data warehouses • Experience with Microsoft Azure • JavaScript knowledge • Previous experience in capital markets, investment management, hedge funds, financial services, or market data products • Interest in AI/ML and the development of AI-enabled financial applications as the platform evolves
• Compensation in USD • Fully remote work • Long-term international opportunity • Career growth through challenging projects with international clients • Greenfield Engineering: Build a critical financial platform from the ground up rather than maintaining legacy systems • High Technical Ownership: Have direct influence over backend architecture, integrations, and technical decisions • Financial Markets Exposure: Work with Bloomberg market data and technology supporting portfolio management • Direct Collaboration: Work closely with the engineering leaders responsible for the product • Future AI Opportunities: The initial MVP is backend-focused, but the platform is expected to incorporate AI-enabled capabilities over time
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