Senior Developer I – Full Stack Python Engineer

Role Overview

• Partner with Fixed Income investment, research and quant stakeholders to clarify requirements, define scope, and translate needs into technical designs and plan deliverables.
• Design, build, and maintain interactive web applications (React/Python Flask/Dash) used by investment professionals.
• Build RESTful APIs and microservices (Python/Flask/FastAPI) to support data access, business logic, and workflow orchestration.
• Implement event-driven patterns using Kafka (producers/consumers, topic design, partitions/consumer groups, error handling/retries, and delivery semantics where applicable).
• Contribute to data platform work: modeling, pipelines, validation, transformation, and integration with analytics/reporting use cases (e.g., Snowflake + SQL).
• Own end-to-end delivery: design, development, code review, testing, deployment, and production support.
• Improve engineering quality and operability through standards for testing, documentation, CI/CD, monitoring, and alerting.
• Mentor engineers and lead by example in design reviews, pull requests, and production readiness practices.
• Collaborate with platform/release teams on deployments and operational processes.

Requirements

• Bachelor’s degree in computer science/engineering (or equivalent practical experience)
• 7+ years of professional software engineering experience delivering enterprise-grade applications
• Strong communication skills and a track record of ownership, delivery, and collaboration with non-technical stakeholders
• Strong full-stack experience across: Front end: 2+ years building UIs with at least one of either React (and modern TypeScript/JavaScript practices) OR Python Flask/Django/Dash.
• Back end: 4+ years building services in Python (FastAPI/Flask strongly preferred; Pandas/NumPy required)
• 3+ years hands-on SQL databases – MS SQL Server / Snowflake / Postgres Data modeling and database design; ability to troubleshoot complex data issues
• Strong OOPS Fundamentals.
• Experience containerizing applications with Docker and deploying them to OpenShift (or comparable Kubernetes platforms or Azure)
• Nice to have: Experience in Asset Management / Financial Services, especially supporting Fixed Income users and workflows.
• Familiarity with Fixed Income instruments (e.g., U.S. Treasuries, IG/HY credit, EM debt, mortgages).
• OMS/platform exposure (e.g., Aladdin , Perform) and/or credit investment platforms (e.g., Allvue Everest).
• Experience in building dashboards in Tableau / Power BI.
• Messaging/eventing experience using Kafka (or similar) in production systems.
• Experience in using AI coding assistants (e.g., GitHub Copilot, Claude) effectively within secure engineering practices.
• Knowledge of Agentic AI frameworks – LangChain / LangGraph / Open AI.

Tech Stack

• Azure
• Django
• Docker
• Flask
• JavaScript
• Kafka
• Kubernetes
• Microservices
• MS SQL Server
• Numpy
• OpenShift
• Pandas
• Postgres
• Python
• React
• SQL
• Tableau
• TypeScript

Benefits

• paid time off
• medical/dental/vision insurance
• retirement
• life insurance
• other benefits to eligible employees