> Markdown version of [/jobs/ext/3994896-senior-python-engineer](https://www.wearedevelopers.com/jobs/ext/3994896-senior-python-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Engineer - **Company:** SumasEdge Corporation - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, BigQuery, Code Review, Continuous Integration, Python (Programming Language), Microsoft Office, Systems Development Life Cycle, Cloud Services, Standard Sql, SQL Databases, Snowflake, Agentic-AI, Git, Fastapi, Api Design, Code Restructuring, Amazon Redshift, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/cd2d2a35-eb4e-4835-a861-44f6ff6aedb3 ## About the Role * 5+ years of hands-on, production Python development. * ETF or investment front-office experience (asset management, investment banking, capital markets). At minimum, you have worked directly with portfolio managers or traders. * Experience modernizing legacy or business-built applications. * Strong SQL and experience with cloud platforms (AWS preferred). * API design and integration, automated testing, CI/CD, Git. * You gather requirements directly from business users and communicate clearly with non-technical stakeholders. Nice to have * Fixed income ETFs, portfolio management or investment analytics. * Aladdin, BNY or comparable investment platforms. * Snowflake, Redshift, Databricks or BigQuery. * AI-enabled development, agentic workflows, AI-assisted SDLC. ## Description * Design, develop and maintain production-grade Python applications and APIs. * Refactor and modernize Python/Excel tools built by business teams: add tests, structure, security and observability. * Work directly with portfolio managers and front-office users to clarify requirements and validate results. * Build data-intensive and analytics features on SQL and cloud data platforms. * Contribute to CI/CD, automated testing and code reviews. * Apply AI-assisted development practices where they improve speed and quality.