QA Engineer

AuxoAI is seeking a highly skilled QA Engineer with a strong foundation in test automation data validation and technical testing. This is a non-traditional QA role focused on quality engineering rather than manual testing. The role requires hands-on expertise in automation frameworks SQL-driven data testing and Python-based scripting along with the ability to understand complex business and system workflows.

The QA Engineer will work closely with engineering data and business teams to ensure end-to-end quality across applications integrations and data platforms contributing to scalable and reliable solutions.

Design develop and maintain automated test scripts and frameworks using tools such as Selenium Cypress (or equivalent).

Implement automation-first testing approaches across UI API and backend layers. Actively contribute to shift-left testing practices participating early in design and requirement discussions.

Execute and maintain regression test suites to ensure consistent quality across releases.

Perform data validation and reconciliation testing across databases data pipelines and reporting layers.

Write and optimize complex SQL queries to validate data accuracy completeness and consistency across systems.

Validate ETL / ELT processes data transformations and business rules in data-centric applications.

Identify data quality issues early and collaborate with engineering teams for root-cause analysis and resolution.

Execute functional and integration testing for applications and system interfaces.

Collaborate closely with developers QA leads and product stakeholders to clarify requirements and acceptance criteria.

Document test cases test results and defects with high clarity and traceability.

Contribute ideas toward automation enhancements and testing accelerators including exposure to AI-assisted testing approaches.

Requirements

Bachelors degree in Computer Science Engineering or a related field.

58 years of experience in Quality Engineering / Software Testing with a strong focus on automation.

Hands-on experience with automation tools such as Selenium Cypress or similar frameworks.

Working knowledge of Python for test automation scripting and utilities.

Strong expertise in SQL with proven experience in data validation and data quality testing.

Experience testing data-driven applications integrations or data platforms.

Exposure to ERP systems preferably Oracle ERP is a strong plus.

Experience working in Agile / DevOps environments is preferred.

Strong analytical and problem-solving skills with attention to detail.

Ability to understand business requirements and translate them into effective test scenarios.

Good written and verbal communication skills. Comfortable working independently on complex testing tasks.