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Software Development Engineer in Test - SDET

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: NATIONMIND LLC
Full Time position
Listed on 2026-10-10
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

SDET

Dallas, TX

Responsibilities
  • Design, develop, and maintain test automation frameworks using Python and/or Java
    .
  • Build automated test suites for functional, regression, performance, and integration testing.
  • Participate in testing of AI/ML models
    , including validating outputs, datasets, model accuracy, and edge-case behaviors.
  • Implement AI-assisted testing tools and contribute to developing intelligent test solutions.
  • Collaborate with cross-functional teams to understand product requirements and convert them into test strategies.
  • Identify root causes of defects and work with engineering teams to resolve them.
  • Perform code reviews, maintain test documentation, and ensure best testing practices.
  • Contribute to CI/CD pipelines with automated quality gates.
  • Continuously evaluate and integrate new tools, frameworks, and AI capabilities to improve test efficiency.
Required

Skills & Qualifications
  • Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).
  • Strong experience in test automation using Python and/or Java
    .
  • Solid understanding of testing methodologies, QA processes, and automation principles.
  • Exposure to AI/ML concepts such as model training, model inference, datasets, bias, and evaluation metrics.
  • Experience working with API testing tools (e.g., Postman, REST Assured, PyTest).
  • Hands-on experience with automation frameworks like Selenium, Playwright, Cypress, or Robot Framework.
  • Familiarity with CI/CD platforms (Jenkins, Git Hub Actions, Git Lab CI, etc.).
  • Strong analytical and debugging skills.
Preferred Qualifications
  • Experience testing AI/ML pipelines or platforms.
  • Understanding of LLMs, NLP, generative AI, or ML workflows.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Experience with containerization tools (Docker, Kubernetes).
  • Familiarity with data validation, data quality tools, or synthetic data generation.
  • Experience with test-case generation using AI tools.
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