Senior Full-stack Engineer

Project description

Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.

Responsibilities

• - Work closely with business team, business analysts, and architects and be able to quickly understand the new requirements and helps to identify the changes to the system. - Work closely on a day-to-day basis with development team, designers, copy writers and other IT teams. - The role develops and presents recommendations from analysis of current solution. Assist in design peer reviews, code peer reviews, build and unit test functional enhancements. Identify areas for code refactoring. Review and contribute to development process and procedures to assist in the continual improvement of the development team activities. - Be able to offer solutions and designs to solve process, project or program issues; provides recommendations to improve the efficiency and effectiveness. Defends a recommendation and can confidently support it. - Strong organization, communication, and interpersonal skills. Ability to communicate with business and technical audiences and produce design documents suitable for multiple audience types, both client-facing and internal - Must be able to exhibit technical thought leadership and excellent problem solving ability, with an aptitude for technical innovation.

SKILLS

Must have

• Mandatory Skills Description:
• 8+ years of professional software development experience.
• Strong backend development experience with Python with a track record of clean, maintainable, testable production code.
• Front-end development experience (React preferred)
• Production API design & delivery (FastAPI preferred), including versioning, documentation (OpenAPI/Swagger), and observability.
• Cloud experience (AWS preferred) beyond core compute/storage/DB—e.g., eventing, queues, serverless, logging/monitoring, secrets.
• Git workflows and CI/CD pipelines
• Debugging & problem-solving skills with strong ownership across the SDLC. AI Acumen
• Experience applying modern agentic approaches (spec-driven development) to software engineering
• Hands-on with Claude Code, VS Code + Copilot, and building or using reusable Al skills
• Al-first repositories - build agent-ready repos - context, skills, conventions & evals baked in
• Quality - agent-generated test & regression suites; identify and guide agents to build quality unit and system test cases

Nice to have

- Highly desirable: financial services, specifically fixed income or trading domains experience