Join Cantor Fitzgerald Technology Markets' Finance Development team as a Software Engineer on a highownership automation and applied AI group. You will partner with business, operations, and technology stakeholders to design, develop, and support productiongrade automation that streamlines trading, compliance, legal, tax, treasury, finance, HR and other corporate processes. The role spans the full softwaredevelopment lifecycle, from learning unfamiliar business workflows to delivering reliable, AIenhanced solutions and maintaining them in production.

Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience).
2-5 years of professional softwaredevelopment experience with a solid grasp of the SDLC.
Strong proficiency in Python and a modern web framework such as Django.
Experience designing, building, and consuming REST APIs.
Proficient SQL skills with experience in relational databases like SQL Server.
Working knowledge of a modern JavaScript framework (e.g., React) for UI development.
Experience with browserautomation/RPA tools and Unix shell scripting.
Handson experience integrating generative AI or LLM APIs into production applications.
Familiarity with Git, CI/CD pipelines, and DevOps practices.
Excellent communication skills and a selfdirected, intellectually curious mindset.

Compensation Expectations: $120,000 -$140,000 Base Salary

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Design, develop, test, and maintain fullstack automations using Python/Django, SQL Server, and React.
Create and consume REST APIs and integrate with internal systems and thirdparty platforms via APIs or controlled browser automation.
Apply generative AI and large language models to document processing, classification, and AIassisted reporting, implementing validation and audit controls. Own solutions endtoend: design, deployment, monitoring, documentation, and production support.
Troubleshoot production issues, perform rootcause analysis, and improve reliability, performance, and recoverability.
Develop automated tests, conduct code reviews, and enforce CI/CD best practices.
Implement logging, monitoring, and alerting for unattended automations.
Collaborate with compliance, legal, trading operations, tax, treasury, finance, and HR to validate business logic and communicate technical tradeoffs.
Translate compliance and regulatory requirements into reliable, auditable technical solutions.
Stay current with emerging automation and AI technologies and evaluate their applicability.