Front Office Software Engineer

Job Description About the Role: We are seeking a Front Office Software with minimum 5 years of experience in systems engineering for front office & operations trading technology within cash equities. 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 Production Python: fully typed, mypy-strict, domain-modelled, Pythonic; dataclasses, Protocols, precise exception handling.Production React/TypeScript: strict mode, no `any`, clean async patterns, cohesive component design.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.Shift Timings: Normal 8 hours + expectation for 07:00am start twice a week local time Preferred Skills Cash equities microstructure: tick sizes, lot rules, auction mechanicsCI/CD pipelines (Jenkins or GitHub Actions), structured observability (logging, metrics, tracing), Docker/Kubernetes. Must Have Strong financial markets / trading technology experience, particularly Cash EquitiesStrong hands-on Python developmentFront-office trading systems knowledge and application development experienceFIX protocol expertiseFidessa integration, implementation, or support experienceDirect experience engaging with traders and business usersHands-on experience building and maintaining trading applications Good To Have SQL and LinuxOMS / trading workflow experienceMarket data experienceFutures, Options, and broader Capital Markets exposureProduction support and trading-system troubleshooting experienceInstitutional equities experience Preferred Strong hands-on React / TypeScript developmentCurrent day-to-day coding responsibilitiesDemonstrable modern software engineering practicesA profile combining software engineering depth + front-office trading domain expertise, rather than being predominantly production/support focused Prioritize Candidates Who Combine Trading technology domain expertise.Modern Python development.React/TypeScript development.Fidessa integration and support experience.Direct experience building and maintaining trading applications