Quality Engineer

About AssetMark:

AssetMark is a leading wealth management platform dedicated to empowering independent financial advisors. AssetMark's mission is to enable financial advisors to make a profound difference in the lives of their clients. Over 10,000 advisors partner with AssetMark for our investment offerings, innovative technology, advanced services, and expertise, which they use to delight their clients and grow their businesses. We are an integrated team of technologists, investment professionals, and operations experts working together to advance wealth management.

Job Description:

We are seeking a proactive, quality-focused QA Engineer to join our engineering organization. In this role, you will be responsible for ensuring the high quality and reliability of our applications through automated testing, early shift-left involvement, and strong cross-functional collaboration.

Key Responsibilities:

1.Automation & Test Engineering (Primary Focus)

• Build, maintain, and scale automated UI, API, and data test suites using Playwright, Python, and Java
• Write and execute SQL validation scripts against Snowflake to verify data accuracy, ETL pipeline integrity, and transformation logic
• Develop test utilities, helper libraries, and reusable automation components in Python and Java using VS Code
• Integrate automated test suites into CI/CD pipelines via Azure DevOps and GitHub Actions
• Use GitHub Copilot and AI agents to accelerate test code generation, triage flaky tests, and streamline QA workflows

2.Quality Assurance & Test Design

• Design risk-based test cases and execute complex regression, integration, and data validation scenarios across environments
• Translate requirements into test plans, identify defects early, and document issues with clear reproduction steps

3.Shift-Left & Full Stack Collaboration

• Engage in sprint planning and design reviews to assess testability and surface quality risks early
• Apply full stack awareness — front-end through back-end — to ensure end-to-end coverage across the entire application

4.Process & Metrics

• Track and report test results, quality metrics, and pipeline health
• Continuously improve test coverage, reduce flakiness, and uphold automation-first standards

Required Experience:

• 3+ years of hands-on experience building and maintaining automated test suites for UI and API layers.
• Demonstrated use of GitHub for source control, pull request workflows, and CI/CD pipeline triggers via GitHub Actions.
• Hands-on experience with Azure DevOps for managing pipelines, work items, and build automation.
• Working proficiency in Python and Java for writing test utilities, helper libraries, and automation scripts.
• Practical experience using AI agents or Copilot tools (GitHub Copilot, Microsoft Copilot) within a development or test engineering workflow.
• Familiarity with full stack application architecture — understanding both client-side and server-side components to design comprehensive coverage.
• Comfort developing in VS Code using Python and Java extensions, debugging tools, and integrated terminal workflows.
• Proven experience querying and validating backend data in cloud data warehouses like Snowflake alongside relational databases using complex SQL