Codelitt

Backend Engineer

• Design, build, and iterate on web-based applications for alternatives-data professionals.
• Implement well-architected, testable, and maintainable Python services.
• Partner with machine-learning engineers to bring models into the backend stack.
• Expose model outputs through clean APIs that power rich client experiences.
• Automate document-based workflows that ingest and normalize unstructured finance data.
• Optimize pipelines for performance, reliability, and observability.

Senior Python Engineer

Frontend Engineer

• Build and maintain modern web applications using React and related technologies
• Design and develop features that meet the diverse needs of clients across industries
• Ensure seamless integration with APIs and optimize frontend performance for large datasets and complex workflows
• Address UX challenges to deliver intuitive, user-friendly interfaces
• Collaborate with designers to implement cohesive and visually engaging UI components
• Participate in code reviews, technical discussions, and project planning sessions
• Contribute to team standards, best practices, and knowledge sharing.

Senior Frontend Developer – React

• System Design & Development: Design, build, and iterate on web-based applications for alternatives-data professionals.
• Implement well-architected, testable, and maintainable Python services.
• ML Integration: Partner with machine-learning engineers to bring models into the backend stack.
• Expose model outputs through clean APIs that power rich client experiences.
• Data Processing & Automation: Automate document-based workflows that ingest and normalize unstructured finance data.
• Optimize pipelines for performance, reliability, and observability.
• Collaboration & Documentation: Work with product managers and client teams to refine requirements and gather feedback.
• Document system designs, project plans, and code—keeping everything clear and readable.
• Champion engineering best practices and help raise the technical bar across the team.

• Design, build, and iterate on web-based applications for alternatives-data professionals.
• Implement well-architected, testable, and maintainable Python services.
• Partner with machine-learning engineers to bring models into the backend stack and expose model outputs through clean APIs.
• Automate document-based workflows that ingest and normalize unstructured finance data.
• Optimize pipelines for performance, reliability, and observability.
• Work with product managers and client teams to refine requirements and gather feedback.
• Document system designs, project plans, and code—keeping everything clear and readable.
• Champion engineering best practices and help raise the technical bar across the team.