This is a remote position.

We are seeking a
Senior Quality Engineer
to support testing and validation efforts across AI-driven applications, cloud platforms, and data ecosystems. This role will focus on ensuring the quality, reliability, and performance of solutions built across
AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations
.

The ideal candidate brings a strong background in
test automation, data validation, and API testing
, with exposure to modern cloud environments and an interest in supporting
AI/ML-driven solutions
.

Key Responsibilities

• 
  Design, develop, and execute
  test cases and automated test scripts
  across application, API, and data layers
• 
  Perform
  end-to-end testing
  across cloud-based systems (AWS, Azure), data pipelines, and integrated platforms
• 
  Validate
  data accuracy and integrity
  across ETL/ELT pipelines and reporting tools (Tableau, Power BI)
• 
  Conduct
  API testing
  and validate microservices-based architectures
• 
  Support testing of
  AI/ML-driven features
  , including validating outputs, consistency, and regression impacts
• 
  Identify, document, and track
  defects and issues
  through resolution
• 
  Collaborate with developers, data engineers, and architects to ensure
  quality is built into solutions
• 
  Execute
  performance and load testing
  for applications and data workflows
• 
  Contribute to
  test automation frameworks
  and improve test coverage
• 
  Participate in
  CI/CD pipelines
  to support continuous testing and delivery

Requirements

Required Qualifications

• 
  5+ years of experience in
  Quality Engineering, QA, or Software Testing
• 
  Hands-on experience with
  test automation tools
  (e.g., Selenium, Cypress, Playwright, or similar)
• 
  Strong experience with
  API testing
  (e.g., Postman, REST Assured, or similar tools)
• 
  Experience validating
  data pipelines, ETL/ELT processes, and data transformations
• 
  Proficiency in
  SQL
  and data validation techniques
• 
  Experience working in
  cloud environments (AWS and/or Azure)
• 
  Familiarity with
  CI/CD tools
  (e.g., Jenkins, GitHub Actions, Azure DevOps)
• 
  Basic programming or scripting experience (e.g., Python, Java, or JavaScript)

Key Traits for Success

• 
  Detail-oriented with a strong focus on
  data accuracy and system reliability
• 
  Collaborative team player who works well with cross-functional teams
• 
  Problem solver with a proactive approach to identifying quality risks
• 
  Adaptable and comfortable working in an
  evolving AI-focused environment