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Quality Assurance Engineer

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Description

Job Description: Quality Assurance Engineer

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

Communication


Clear stakeholder communication: Communicates clearly, concisely, and confidently with both technical and non-technical stakeholders. Explains quality risks, testing constraints, and trade-offs in a way that supports informed decision-making. Provides more than status updates by adding context, recommendations, and clear next steps.

Engaged Team Contributor


Active team participation: Comes prepared for planning, backlog refinement, and retrospectives. Contributes constructively, asks thoughtful questions, and brings a quality-first perspective to team discussions.

Analytical Thinking


Problem analysis and resolution: Applies strong debugging and root-cause analysis skills across complex, multi-layer environments. Connects information across systems to identify issues accurately, assess impact, and recommend effective solutions.

Collaboration & Growth


Collaborates openly across engineering and product teams with a team-first mindset. Proactively adopts AI, automation tools, and evolving QA practices to improve efficiency and quality.

Qualifications & Skill Requirements

Skill Area


Tools / Technologies


Proficiency

Test Automation


Playwright, Python


Required

Programming Languages


Python (advanced), Java (proficient)


Required

IDE & Dev Tooling


VS Code (with extensions)


Required

Version Control


GitHub (branching, PRs, Actions)


Required

CI/CD & DevOps


Azure DevOps (pipelines, boards, repos)


Required

AI Agents & Copilot


GitHub Copilot, Microsoft Copilot


Required

Full Stack Awareness


Front-end + back-end layer testing


Required

Database & SQL


SQL for test data verification & querying


Required

API Testing


REST API test design and execution


Required

Data Testing & Data

Warehousing


Snowflake, Advanced SQL, Data Reconciliation, ETL/Pipeline Testing


Required

Required Experience

  • 5+ 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

Skills

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See also

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