Automation Engineer (Python/SQL)

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Automation Engineer (Python/SQL)

mid · Technology / Software Development

Job Description

WHAT IS THE OPPORTUNITY?

We are looking for an Automation Engineer — a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, RBC Capital Markets’ 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.

The platform spans pricing, transactions, cash flows, position management, risk, accounting, operations, and regulatory reporting — built on C++, C#/.NET, Java, Python, Sybase/Oracle, and TIBCO/MQ/Solace messaging. Your first major initiative will be leading the testing effort for the Sophis v25 platform migration: methodically comparing production benchmark outputs against the upgraded release candidate across all critical workflows. That deep, hands-on understanding of the system becomes the foundation from which you design and deliver lasting 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 containerised 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?

Must Have

• 2–4 years as a software developer or automation engineer who writes production-grade code regularly; 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).

WHAT’S IN IT FOR YOU?

• Real impact: the automation you build runs at the heart of RBC’s trading infrastructure every day.

• Ownership of the AI and DevOps automation stack — you design it, you ship it, you evolve it.

• Exposure to the full spectrum of investment banking technology: trading engines, risk, regulatory reporting, and real-time market data.

• An AI-first engineering culture with cutting-edge tools and encouragement to pioneer new patterns.

• A fast learning environment with real mentorship from experienced capital markets engineers.

• Competitive compensation, professional development budget, and RBC’s comprehensive benefits.

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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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