Senior Developer I - Full Stack Python Engineer (Fixed Income Technology)

We are seeking a Senior Full Stack Engineer

What You’ll Do (Responsibilities)

• 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.

Required Qualifications

• 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.
• Message/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.

Pay Details

The salary range for this role is $130,000-$170,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs.

Benefits

We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.