Full Stack Python Engineer
Role details
Job location
Tech stack
Job description
Our Client, a leading Asset Management firm located in Midtown, Manhattan is seeking a Senior Python Full Stack Engineer to build modern, intuitive web applications and a microservices-based backend that powers Fixed Income investment workflows (trading, portfolio construction, risk and analytics). This is a hands-on, highly collaborative role partnering closely with portfolio managers, quantitative teams and research to deliver scalable, production-ready platforms. You will design and develop front-end user experiences as well as backend services and APIs, including event-driven components leveraging Kafka. Success in this role requires a builder mindset-someone who can take ambiguous problems from concept to production-paired with strong engineering judgment around service boundaries, API design, testing strategy and operational readiness. You should be comfortable working directly with investment stakeholders and iterating quickly while maintaining high quality. RESPONSIBILITIES
- Partner with investment and research stakeholders to clarify requirements, define scope, and translate needs into technical designs and deliverables.
- Design, build, and maintain interactive web applications (React) 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 (e.g., containerization and OpenShift).
Requirements
- Bachelor''s degree in Computer Science/Engineering (or equivalent practical experience).
- 7+ years of professional software engineering experience delivering enterprise-grade applications.
- Strong full-stack experience across:
- Front end: 2+ years building UIs with React (and modern TypeScript/JavaScript practices).
- Back end: 4+ years building services in Python (FastAPI/Flask strongly preferred; Pandas/NumPy required)
- Strong relational data skills:
- 3+ years hands-on SQL
- Data modeling and database design; ability to troubleshoot complex data issues
- Experience with Snowflake
- 1+ years using Kafka (or similar) in production systems.
- Strong OOPS Fundamentals.
- Experience containerizing applications with Docker and deploying to OpenShift (or comparable Kubernetes platforms).
- Experience using AI coding assistants (e.g., GitHub Copilot, Claude) effectively within secure engineering practices.
- Strong communication skills and a track record of ownership, delivery, and collaboration with non-technical stakeholders., * 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 with observability tooling (metrics/logging/tracing), performance tuning, and resiliency patterns (timeouts, retries, circuit breakers).
