Software Engineer In Test

The Role

Asset Management Division is seeking an SDET to join the Quantitative Research and Investing Technology (QRIT) team. You will play a key role in designing, developing, and delivering the quantitative portfolio management platform that supports data-driven investment processes.

As automation capabilities continue to expand, the team is seeking a dedicated QA Automation Engineer to take point on the quality and reliability of automated test suites across backend API services and the Angular UI.

In this role, you will serve as the primary owner of the automated testing ecosystem, guiding best practices, monitoring test suite health, and driving continuous improvement across Karate and Cypress frameworks. You will collaborate closely with developers, quantitative researchers, product partners, and DevOps engineers to ensure automated tests remain stable, reliable, and aligned with evolving product needs.

You will not be expected to write every automated test yourself; instead, you will:

• Lead quality engineering practices, standards, and governance.

• Write or enhance core test utilities when needed.

• Monitor failures and coordinate with developers to ensure timely resolution.

• Enhance observability, reduce false positives, and support test suite evolution.

• Occasionally write new tests for critical workflows or to establish patterns.

The Expertise You Have

• 5–7 years of hands-on experience with automated testing for modern applications.

• Strong experience with API and UI automation frameworks.

• Proven SQL skills — confident writing joins, filters, aggregations, and using SQL to inspect, validate, and prepare test data.

• Experience with test data strategies: mocking, seeding, synthetic data creation, and validating backend state through SQL queries.

• Moderate Java proficiency — enough to work within and extend a Karate-based test framework and shared utilities.

• Working knowledge of JavaScript/TypeScript sufficient for Cypress-based test authoring and maintenance.

• Proven understanding of testing strategies for REST APIs, microservices, and event-driven systems (Kafka experience a plus).

• Experience collaborating in Agile environments and partnering with developers and DevOps engineers.

• No financial/quantitative domain knowledge required — you'll partner with the product team to define test scope.

The Skills You Bring

• Ability to diagnose failures across distributed systems and trace issues across logs, services, and test layers.

• Strong debugging skills and comfortability with reading application code when tests fail.

• Familiarity with observability tools (logging, dashboards, alerts) to monitor test stability.

• Experience improving test suites for reliability, maintainability, and execution time.

• A mindset focused on quality as a shared responsibility across the squad.

The Value You Bring

• Improving automated suite stability through better patterns, observability, and test governance.

• Reducing false positives and improving signal-to-noise across CI test runs.

• Enhancing visibility in test coverage, execution results, and pipeline health.

• Establishing and evangelizing best practices across backend and frontend test frameworks.

• Ensuring automation serves as an enabler of faster, safer releases.

Tools & Technologies Used on the Team

• Karate for API, microservice, and Kafka workflow testing

• Cypress for Angular UI testing

• Java, TypeScript/JavaScript

• Kafka, RESTful APIs, microservices

• CI/CD orchestrated by a dedicated DevOps partner

• Cloud-native architecture (AWS), distributed systems

The Team

The Quantitative Portfolio Management Technology team builds and maintains the platform that powers quantitative investment strategies. The team is a senior, collaborative engineering group that values autonomy, technical excellence, and clear communication.