The SDET is responsible for designing automated test frameworks, validating distributed systems, and advocating QA best practices to ensure robust technology.
About Us: At Clearwater Analytics, we are on a mission to become the world's most trusted and comprehensive technology platform for investment management, reporting, accounting, and analytics. We partner with sophisticated institutional investors worldwide and are seeking a Software Development Engineer in Test (SDET) who shares our passion for innovation and client commitment.
Role Overview: If you are an experienced Software Development Engineer in Test (SDET) with a passion for FinTech, particularly in OEMS, PMS, FO, and IM, we invite you to apply for this position. You’ll be responsible for designing and maintaining automated test frameworks, validating complex distributed systems, and championing QA for best practices that ensure our technology is robust, compliant, and ready for scale.
Qualifications & Experience (Required):- 4+ years of professional software testing and test automation experience.
- Proficiency in at least one of the programming languages such as Java/Typescript/VBScript for test automation scripting and framework creation/maintenance.
- Strong experience with at least one automation tool such as Selenium/Playwright/UFT (Unified Functional Testing) using testing frameworks such as Junit/TestNG/POM/Hybrid.
- Experience with at least one test management tool such as ALM/TestRail/Xray/Zephyr/JIRA
- Experience with mocking/stubbing tools and integrating automated tests into CI/CD pipelines (using Jenkins/GitLab/GitHub Actions).
- Familiarity with QA best practices, workflows, and methodologies (Agile, Continuous Testing, Shift-Left Testing).
- Background in FinTech, BFSI or other highly regulated, mission-critical domains.
- Testing experience with Spring Boot applications.
- Knowledge of programming languages like Python/JavaScript.
- Knowledge/Experience with building API, integration, and end-to-end automated tests.
- Knowledge of SQL for test data design and validation.
- Exposure to cloud platforms (e.g. one of AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) for reproducible test setups.
- Knowledge of automation build tools such as Gradle/Maven.
- Strong problem-solving skills, with meticulous attention to test design detail.
- Ability to blend strategic quality objectives with tactical testing execution.
- Excellent communication and collaboration skills across engineering, QA, and product teams.
- Comfortable in fast-paced, regulated environments requiring compliance and precision.
- Collaborate with developers, analysts, and product managers to define test strategies and automation coverage.
- Develop and maintain reliable automated test suites for functional, regression, integration, smoke, canary, API, and performance scenarios.
- Engineer tools to simulate market events and validate complex financial workflows.
- Investigate test failures, conduct root cause analysis, and ensure regression prevention.
- Advocate for and implement QA best practices across the SDLC.
- Continually evolve automation frameworks to improve scalability and efficiency.
Top Skills
Alm
AWS
Azure
Docker
GCP
Github Actions
Gitlab
Gradle
Hybrid
Java
JavaScript
Jenkins
JIRA
Junit
Kubernetes
Maven
Playwright
Pom
Python
Selenium
SQL
Testng
Testrail
Typescript
Uft
Vbscript
Xray
Zephyr
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