Software Development Engineer in Test

Chicago

Permanent

$135,000 - $165,000 USD a year

Financial Technology

PR/603863_1785850940

A leading financial technology organization is looking for a Software Development Engineer in Test (SDET) to support the quality and performance of its mission-critical trading and analytics platforms. This individual will play a key role in ensuring the reliability, scalability, and accuracy of systems used in fast-moving, data-intensive environments.

Responsibilities

Design and maintain automated testing frameworks covering application functionality, system integrations, and core business workflows.
Validate pricing, valuation, and performance calculations across complex financial products and trading strategies.
Develop testing approaches for AI and machine learning solutions, including model validation, regression testing, output verification, and performance monitoring.
Build automated evaluation tools for internal AI-powered applications and workflow automation initiatives.
Create realistic simulation environments to test platform behavior during periods of heavy system activity, market volatility, and unusual event-driven scenarios.
Verify connectivity and message flows between trading platforms, execution systems, market gateways, and third-party integrations.
Partner closely with software engineers, quantitative teams, and business stakeholders to define test coverage and ensure platform accuracy.

Requirements

4+ years of experience in Software Development Engineering in Test (SDET), Quality Engineering, or Test Automation.
Prior experience supporting financial technology, capital markets, trading platforms, or other highly transactional systems.
Strong programming skills in Python, Java, or C++.
Experience testing distributed, event-driven, or real-time applications.
Hands-on experience with modern automation frameworks such as PyTest, JUnit, TestNG, or similar tools.
Understanding of automated API, integration, and end-to-end testing methodologies.
Familiarity with messaging technologies, streaming platforms, or low-latency systems is highly desirable.
Excellent troubleshooting, analytical, and problem-solving skills.

Nice to Have

Exposure to derivatives, options, risk management systems, or financial analytics.
Experience validating AI/ML models or data-driven applications.
Knowledge of trading workflows, order management systems, or electronic execution environments.
Experience working in highly available, performance-sensitive production environments.

(This is an onsite role in Chicago and at this time the team cannot provide Visa sponsorship)

FAQs

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