Senior Trading Systems Software Engineer (Python / React / FIX / Fidessa)

Senior Trading Systems Software Engineer (Python / React / FIX / Fidessa)

Sydney, Australia Posted on 26/08/2026

• Assigned Recruiter(s) Sri Ram Harsha Pillutla
• Initial Contract Duration 12 months
• Job Opening Status Open
• Location NSW
• Security Clearance None
• City Sydney
• Country Australia
• Postal Code 1001

Job Description

Role:Software Engineer

Working hours:Normal 8hrs + expectation for 07:00am start twice a week local time

Work Location:100% on site in Central Sydney

Duration:1 year + possible extensions

Job Purpose: This role designs, builds, and supports the trading and analytics applications the desk depends on daily. We build our own tooling, we own it end-to-end, and we hold it to the same standard as any production trading system. You will work directly with traders and operations staff, ship real software, and apply genuine engineering discipline - including structured AI-assisted development as a first-class part of the workflow.

Key Responsibilities:

• Design, build, test, and support Python back-end services and React front-end applications covering order flow, position and risk views, trade analytics, and reporting - modelled explicitly around business domain concepts: OrderRouter, RiskGate, MarketDataFeed, Strategy, OMS.
• 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 that accurately reflect trading domain models; write and tune queries supporting real-time and end-of-day analytics workflows; coordinate larger database work with the US team.
• Translate trader and operations requirements into clear specifications, walk stakeholders through design decisions, and communicate incident impact and resolution in plain language.
• Apply a structured TDD cycle without exception: spec sign-off, implementation plan sign-off, automated tests agreed and written before code, peer review of all output (human or LLM-generated), and continuous test execution covering functional correctness, non-functional behavior (latency, throughput, resilience), and code quality gates.
• Use Copilot and LLMs as a disciplined co-author operating inside that defined cycle-spec, sign off, implement, test, review, repeat. Unstructured vibe coding is not practiced here and will not be accepted in peer review.

Required Skills

• Experience in systems engineering for front office & operations trading technology within cash equities
• Production Python: fully typed, mypy-strict, domain-modelled, Pythonic; dataclasses, Protocols, precise exception handling.
• FIX protocol: session lifecycle, order state management, drop copy, reconciliation, venue-side troubleshooting.
• Fidessa: hands-on support and integration experience in a live trading environment.
• PostgreSQL and MSSQL: relational schema design for trading workflows, query optimization, operational support.
• Genuine TDD discipline: unit-first, deterministic fixtures, meaningful assertions, coverage on critical paths. Demonstrable in a pair session, not just on a CV.
• Structured LLM co-design practice: the candidate must be able to articulate their workflow clearly and demonstrate it live.

Preferred Skills

• Cash equities microstructure: tick sizes, lot rules, auction mechanics
• CI/CD pipelines (Jenkins or GitHub Actions), structured observability (logging, metrics, tracing), Docker/Kubernetes.