Senior SQA Automation Engineer

Senior SQA Automation Engineer

Department: Software Engineering
Experience: 6–10 years (minimum 4 in hands-on test automation)
Employment Type: Full-Time

About the Role

ReBiz is hiring a hands-on Senior SQA
Automation Engineer to build and own scalable test automation across our web,
desktop, and mobile applications, APIs, and backend services.

AI-assisted testing is a core requirement
of this role, not an add-on. You will use AI tools daily to generate, review,
and maintain tests, and you will help validate the AI-enabled features in our
products.

We are looking for an engineer with
strong programming fundamentals, clear ownership, and a track record of
improving how quality is engineered.

Key Responsibilities

1. Test Automation & Quality Engineering

● Design, build, and maintain
scalable automation frameworks for web, desktop, and mobile applications, APIs,
and backend services.

● Automate functional, regression,
integration, and end-to-end tests, and integrate them into CI/CD pipelines.

● Validate REST APIs, third-party
integrations, scheduled jobs, and asynchronous processes.

● Test desktop and mobile
applications across supported operating systems, devices, and versions, including
installation, upgrade, and offline behavior.

● Validate application behavior
during migrations, upgrades, and deployments, and support performance and
failure-recovery testing.

● Investigate complex defects and
work with developers on root-cause analysis.

2. Data & Database Testing

● Perform SQL-based data
verification, reconciliation, and reporting validation.

● Test database logic, including
stored procedures, functions, triggers, and views, for correctness, edge cases,
error handling, and performance.

● Validate ETL processes and data
pipelines end to end, including source-to-target mapping, transformation logic,
and data synchronization workflows.

● Implement automated data quality
checks for completeness, accuracy, duplicates, null handling, and referential
integrity.

● Validate schemas and data
contracts to catch breaking changes between services and upstream sources.

● Manage test data, including
generation, seeding, and masking or anonymization, so that no real customer
data is used in test environments.

● Test system behavior and query
performance at realistic data volumes.

3. AI-Assisted Testing

● Use AI-assisted tools (e.g.,
GitHub Copilot, Claude, ChatGPT) as part of daily work to generate test cases,
write automation code, and maintain existing suites.

● Review all AI-generated test code
for correctness, assertion strength, maintainability, and security before it is
merged.

● Apply AI to failure analysis,
flaky-test triage, and regression suite optimization.

● Test AI-enabled product features
for output accuracy, consistency, and reliability, including building
evaluation datasets and prompt-based regression checks.

● Evaluate emerging AI testing tools
and adopt those that deliver measurable gains.

● Follow responsible-use practices:
no customer, production, or confidential data is entered into external AI
tools.

4. Release Quality & Process

● Own test planning and test
strategy for assigned products, applying risk-based testing to critical
business workflows.

● Define and maintain automated
quality gates in CI/CD that block releases failing agreed criteria.

● Drive release-readiness
assessments, defect triage, and regression analysis.

● Track and report quality metrics,
including automation coverage, flaky-test rate, and defect leakage to
production.

● Identify testing gaps and
implement improvements to QA practices.

5. Collaboration

● Work with Development, DevOps,
Product Management, and SQA teams on testability and automation architecture.

● Share automation techniques and
AI-assisted testing practices with colleagues.

● Communicate test outcomes, risks,
and recommendations clearly to stakeholders.

Required Skills

Test Automation & Engineering

● Strong programming skills in at
least one of TypeScript/JavaScript, Python, Java, or C#.

● Hands-on experience with
Playwright, Selenium, or Cypress, including designing and maintaining
automation frameworks.

● Hands-on experience testing and
automating desktop or mobile applications, using tools such as Appium,
WinAppDriver, FlaUI, Espresso, or XCUITest.

● Strong REST API automation
experience using code-based tools such as Playwright API testing, REST Assured,
Pytest, or Postman with Newman.

● Strong SQL skills, including
testing stored procedures, functions, and triggers, and validating data across
relational databases.

● Experience testing ETL processes
or data pipelines, including source-to-target validation and automated data
quality checks.

● Experience with test data
management, including data generation, seeding, and masking of sensitive data.

● Experience with Git and CI/CD
tools such as GitHub Actions, GitLab CI, or Jenkins.

● Experience with functional,
regression, integration, end-to-end, and exploratory testing.

● Understanding of Agile/Scrum
practices and the software development lifecycle.

● Strong debugging, analytical, and
problem-solving skills.

AI Competency (Mandatory)

● Demonstrated hands-on use of
AI-assisted development tools (e.g., GitHub Copilot, Claude, ChatGPT) in
production test automation work, with examples of measurable impact on
coverage, speed, or maintenance effort.

● Ability to critically review
AI-generated code and identify incorrect logic, weak assertions, brittle
locators, and security issues.

● Working knowledge of prompting
techniques for test generation, and of AI tool limitations such as
hallucination and non-deterministic output.

● Practical experience validating
LLM-based features or AI-generated outputs, including output validation, prompt
testing, and regression datasets.

● Understanding of safe AI usage,
including data privacy and confidentiality when using external AI tools.

Preferred Skills

● Experience with AI-augmented
testing platforms, such as self-healing tests or visual AI testing.

● Experience with AWS, Docker, and
microservices-based applications.

● Exposure to performance testing
tools such as JMeter or k6.

● Experience with analytics
platforms, BI tools, and reporting systems.

● Knowledge of application security
testing and OWASP principles.

Professional Competencies

● Strong ownership and
accountability.

● Analytical thinking and
independent problem-solving.

● Effective collaboration with
cross-functional engineering teams.

● Clear written and verbal
communication.

● Ability to prioritize work across
multiple projects.

● Willingness to mentor colleagues
and share technical knowledge.

● Adaptability to emerging
technologies, particularly AI-driven engineering practices.

Qualifications

● Bachelor's degree in Computer
Science, Software Engineering, or a related field, or equivalent practical
experience.

● 6–10 years of professional
experience in software quality assurance, including at least 4 years building
and maintaining automation frameworks.

● Demonstrated record of improving
automation coverage and testing processes.

● Experience working with
cross-functional engineering teams on complex software applications.