Uses Copilot and LLMs as disciplined co-authors within a strict TDD workflow; explicitly forbids unstructured vibe coding.
About the Role
Build, maintain, and support front-office trading and analytics applications used by traders and operations, delivering production-grade Python back ends and React TypeScript front ends with disciplined TDD and structured LLM/AI-assisted development.
The role owns end-to-end tooling, FIX and Fidessa integrations, and relational schemas for real-time trading workflows.
Job Description
Role
Front Office Software Engineer responsible for designing, building, testing, and supporting trading and analytics applications used by the trading desk.
The engineer will work closely with traders and operations to ship production-grade software, own integrations and schemas, and operate within a strict TDD and structured AI-assisted development workflow.
Key Responsibilities
Design, build, test, and support Python back-end services and React front-end applications for order flow, position and risk views, trade analytics, and reporting.
Maintain and extend FIX connectivity and order routing integrations across APAC venues; support Fidessa/Triton configuration, session management, and user troubleshooting.
Design and own PostgreSQL and MSSQL schemas reflecting trading domain models; write and tune queries for real-time and end-of-day analytics and coordinate database work across teams.
Translate trader and operations requirements into clear specifications, communicate design decisions and incident impact in plain language.
Apply a strict TDD cycle: specification sign-off, implementation planning, automated tests written before code, peer review of all output (human or LLM-generated), and continuous test execution covering functional and non-functional behavior.




Use Copilot and LLMs as disciplined co-authors inside the defined development cycle; unstructured "vibe coding" is explicitly not accepted in peer review.
Requirements
~5 years of systems engineering experience for front office & operations trading technology within cash equities.
Production Python expertise (fully typed, mypy-strict, dataclasses, Protocols, precise exception handling).
Production React and TypeScript experience (strict mode, no any, clean async patterns, cohesive component design).
Practical experience with the FIX protocol, including session lifecycle, order state management, drop copy, reconciliation, and venue-side troubleshooting.
Hands-on Fidessa integration and support experience in a live trading workplace.
PostgreSQL and MSSQL schema design, query optimization, and operational support experience.
Strong TDD discipline (unit-first, deterministic fixtures, meaningful assertions, critical-path coverage); ability to demonstrate in a pair session.
Ability to articulate and demonstrate a structured LLM co-design workflow live.
Preferred
Knowledge of cash equities microstructure (tick sizes, lot rules, auction mechanics).
Familiarity with CI/CD pipelines (Jenkins or GitHub Actions), structured observability (logging, metrics, tracing), and containerization/orchestration (Docker, Kubernetes).
Employment & Compensation
Job Types: Contract, Full-time
Pay: $***** - $***** per hour (currency not specified in posting)
Location & Authorization
Work Authorization: Australia (required)
Health insurance
Python mypy dataclasses Protocols React TypeScript FIX Fidessa Triton PostgreSQL MSSQL Copilot LLMs Jenkins GitHub Actions Docker Kubernetes
Skills
System Design Test-Driven Development Communication Stakeholder Engagement Troubleshooting Operational Support Observability CI/CD Pair Programming Domain Modeling Team Collaboration
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📌 Front Office Software Engineer (New South Wales)
🏢 Vibehackers
📍 New South Wales