About The Role

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

Design, develop, test, and maintain full‑stack automations using Python/Django, SQL Server, and React.
Create and consume REST APIs and integrate with internal systems and third‑party platforms via APIs or controlled browser automation.
Apply generative AI and large language models to document processing, classification, and AI‑assisted reporting, implementing validation and audit controls.
Own solutions end‑to‑end: design, deployment, monitoring, documentation, and production support.
Troubleshoot production issues, perform root‑cause 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 trade‑offs.
Translate compliance and regulatory requirements into reliable, auditable technical solutions.
Stay current with emerging automation and AI technologies and evaluate their applicability.
Bachelor's or Master's in Computer Science, Engineering, or related field (or equivalent experience).
2–5 years of professional software‑development 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 browser‑automation/RPA tools and Unix shell scripting.
Hands‑on experience integrating generative AI or LLM APIs into production applications.
Familiarity with Git, CI/CD pipelines, and DevOps practices.
Excellent communication skills and a self‑directed, intellectually curious mindset.