Python Developer

Evolver Commercial•Sf, CA

21h•$140,000 - $175,000•Hybrid

About The Position

Evolver is seeking an experienced Python Developer to join our team supporting the front office. The ideal candidate will have at least 5 years of experience designing, developing, and deploying Python-based solutions in a financial services or investment management environment. This role supports a broad set of stakeholders including equity & fixed income research, trading, and quantitative teams, requiring the ability to work across varying levels of technical maturity. This role also requires participation in the firm's growing AI initiatives, including governance and integration of AI processes. The individual will collaborate closely with front office teams and Investment Technology leadership to deliver scalable, well-governed Python solutions that support investment decision-making. Location: Highly Preferred - 4 days a week in San Francisco Office, 1 day optional remote

Requirements

5 years of hands-on experience developing in Python
5 years of demonstrated production deployment & environment management experience.
5 years of experience integrating Python with enterprise data sources, including Snowflake, SQL Server, and REST APIs.
5 years of experience building interactive dashboards and visualizations with Plotly and Dash.
Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field.

Nice To Haves

Experience designing scalable internal Python architectures in organizations with multiple teams.
Hands-on involvement with AI/LLM enablement in an enterprise context, including integration patterns (MCP, API abstraction layers), data governance, and prompt management.
Prior experience in asset management or investment research, with working knowledge of portfolio analytics, factor construction, and valuation metrics.
Demonstrated ability to design Python package structures and manage dependencies across teams and environments.
High attention to detail, particularly around numerical accuracy, and data quality in a financial context.
Strong proficiency with pandas, vectorized operations, and data quality handling.
Strong communication and stakeholder management skills, with the ability to work directly with non-technical front office users.
Proficiency with version control (Git) and collaborative development practices including code review.

Responsibilities

Design, develop, and maintain Python-based tools and pipelines to support front office investment teams.
Develop, maintain, and govern shared data patterns across multiple databases, environments, and other enterprise sources.
Support the firm's cloud migration, including integration of Snowflake and support of Python UDFs.
Build and support interactive tools using Plotly and Dash for business users.
Establish and maintain internal Python package structures, dependency management standards, and environment reproducibility practices.
Implement data quality validation and testing frameworks for data pipelines.
Support AI enablement initiatives including LLM integration, governance frameworks, and review of AI-generated code for production readiness.