Full Stack Developer - Frontend & Backend Architecture

Description :

The core responsibilities for the job include the following :

Front-End Development :

- Design and develop intuitive, modular UIs where quant models appear as menus/submodules.

- Build user journeys for model selection, parameter inputs, scenario generation, and result visualization.

- Develop modern web UIs using React.js (preferred), Node.js, or other open-source frameworks such as Vue or Angular.

Integration With Quant Back-End (Python) :

- Build REST APIs or gRPC endpoints to connect the UI with Python quant models, risk engines, pricing models, and ML pipelines.

- Manage data exchange formats (JSON/Parquet/Arrow).

- Implement asynchronous processing for heavy model computations.

Deployment and Hosting :

- Deploy applications on-premise, locally, or in the cloud (Azure and GCP required).

- Set up secure environments using Docker or Kubernetes.

- Deploy using Azure App Services, GCP Cloud Run, or containerized microservices.

DevOps, CI/CD, and Testing :

- Implement CI/CD pipelines via GitHub Actions, GitLab CI, or Azure DevOps.

- Build automated workflows for testing, deployment, and rollback strategies.

- Write unit, integration, and automated UI tests.

Dashboarding and Visualization (Python) :

- Build dashboards using Plotly Dash, Streamlit, or Bokeh.

- Integrate data tables, charts, scenario visualizations, and Monte Carlo outputs.

System Architecture :

- Design scalable architecture combining front-end, API, and quant-model engines.

- Ensure modular structure for plug-in quant models.

- Implement authentication, role-based access, and audit logging.

Requirements :

- 4-7 years of experience in software engineering.

- Proven delivery of production-grade front-end applications.

- Experience deploying applications on Azure and GCP.

- Strong experience integrating with Python-based quant services.

- Preferred: Experience in financial services or fintech.

Required Skills :

- Front-End: React.js (must), Node.js (must), HTML/CSS/JS/TS.

- Backend Integration: Python, FastAPI/Flask, REST APIs, WebSockets.

- Cloud Platforms: Azure and Google Cloud Platform.

- DevOps: Git, CI/CD, Docker, Kubernetes.

- Dashboarding: Plotly Dash, Streamlit, Bokeh.

- Security: Authentication, RBAC, encryption, and cloud hardening.

- Nice to Have: Financial/quant knowledge, micro-frontend architecture.