Software Engineer

CareCone Group; Sydney; On-site; AUD 180,000 - 280,000; Full time

Job summary

CareCone Group is building and supporting trading analytics tools used daily by traders and operations staff. You will ship production-grade Python back-end services and React front-end components, with strict TDD, end-to-end ownership, and robust FIX connectivity.

You will design schemas for PostgreSQL/MSSQL, translate trader requirements, and communicate incident impact clearly while collaborating with a US team.

Qualifications

• 5 years+ in front-office/trading tech within cash equities.
• Production Python: fully typed, mypy-strict, domain-modelled.
• FIX protocol: session life cycle, state management, reconciliation.
• Fidessa live-trading integration experience.
• PostgreSQL and MSSQL schema design for trading workflows.
• Strong TDD with deterministic fixtures and assertions.
• Ability to articulate and demonstrate structured LLM co-design workflows.

Responsibilities

• Design, build, test, and support Python back-end services and React front-end apps for order flow, risk views, analytics, and reporting.
• Maintain and extend FIX connectivity; manage Fidessa/Triton configurations and troubleshooting.
• Design/own PostgreSQL and MSSQL schemas reflecting trading domain models and optimize queries.
• Translate trader requirements into precise specs; communicate incidents clearly.
• Adhere to a strict TDD cycle with sign-offs, tests, and peer reviews.
• Leverage Copilot/LLMs as disciplined co-authors within the workflow.

Skills

Python back-end

FIX protocol

PostgreSQL

MSSQL

TDD discipline

Fidessa integration

LLM co-design

CI/CD

Trading domain

Debugging and tracing

Tools

Docker

Kubernetes

Jenkins

GitHub Actions

Job description

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

• ~5 years of 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.