QA Automation Engineer

We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at the highest quality bar. You will operate as an AI agent coordinator, software developer, and DevOps engineer in one: someone hungry to learn a complex trading system hands-on, then progressively transform how it is tested and delivered through AI-driven automation.

WHAT WILL YOU DO?

• Work alongside the team to learn Sophis end-to-end — from trade booking and pricing through EOD batch, P&L, risk, and regulatory outputs — through hands-on testing and analysis.
• Analyse and compare benchmark production outputs against release candidate outputs to identify regressions, discrepancies, and behavioural changes at the data and workflow level.
• Develop domain expertise in the platform’s business logic, data flows, and configuration — the foundation for every automation decision you will make.
• Progressively transform testing from manual to automated: identify the highest-value manual tests, build repeatable automation, and retire manual steps as coverage proves reliable.
• Build AI-powered test generation and regression triage using LLMs, AI coding assistants (Copilot, Windsurf/Cascade), and agentic frameworks — shipping automation at developer velocity.
• Develop and own GitHub Actions CI/CD workflows: automation stages, quality gates, and deployment pipelines from DEV ? QAT ? UAT ? PROD.
• Engineer containerized test environments, artifact promotion via Artifactory, and IaC provisioning across Unix and Windows.
• Instrument pipelines with coverage, SonarQube, and metrics dashboards; own the 80%+ coverage target as a deliverable.
• Build internal quality tooling — libraries, CLI tools, automation frameworks — that the broader engineering team uses to test and ship faster.
• Coordinate multi-team automation workflows spanning development, testing, and operations; act as the glue between code quality and operational reliability.
• Partner with developers, platform engineers, and business analysts; grow alongside experienced capital markets technologists while contributing your AI-first perspective.
• Evaluate and adopt emerging AI tooling, agent frameworks, and FinTech automation patterns to keep the team at the leading edge.

WHAT DO YOU NEED TO SUCCEED?

• 8+ years as a software developer or automation engineer who writes production-grade code regularly.
• Must have experience working with a Banking/financial firm in a recent.
• Strong Python skills (pytest, pandas, numpy, cx_Oracle) and comfort with SQL (Oracle and/or Sybase/SQL Server).
• Hands-on experience contributing to or building CI/CD pipelines (GitHub Actions, Jenkins).
• Working experience with AI-assisted development tools (Copilot, Windsurf, Cursor) and curiosity to go deeper into LLM-based automation.
• Some exposure to capital markets, trading systems, or financial services — deep expertise can be built on the job.
• Git proficiency: branching strategies, PR workflows, pre-commit hooks.
• Willingness to do hands-on testing and detailed output analysis — you learn the system by testing it, not just reading about it.

Nice to Have:

• Experience with agentic AI frameworks (LangChain, AutoGen, CrewAI) or custom LLM orchestration.
• Exposure to Sophis/Risque or comparable front-to-back platforms (Murex, Calypso, Summit).
• C++ or C# development experience; comfort with multi-language codebases.
• Knowledge of messaging middleware (TIBCO EMS, IBM MQ, Solace) or enterprise scheduling (Control-M).
• Unix/Linux scripting (ksh, bash, Ansible) and performance testing tools (Locust, k6, JMeter).

Languages: Python, C++14, C#/.NET, Java, SQL, PowerShell, ksh/bash

Automation: pytest, GitHub Actions, Jenkins, Artifactory, Docker, Ansible, CMake

Messaging: TIBCO EMS, IBM MQ, Solace

AI: GitHub Copilot, Windsurf/Cascade, LLM-based test generation

Platform: Sophis/Risque, FpML Web Services, Control-M, SonarQube