Software Development Engineer in Test - SDET

NATIONMIND LLC
Dallas, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Dallas, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Code Review
Continuous Integration
Data Validation
Data Cleansing
Software Debugging
Github
Python
Machine Learning
Natural Language Processing
Software Tools
Selenium
Software Testing Automation Framework
Strategies of Testing
Google Cloud Platform
Postman
Large Language Models
Cypress
Generative AI
Pytest
Containerization
Gitlab-ci
Integration Tests
Kubernetes
Information Technology
Playwright
Machine Learning Operations
Docker
SDET
Jenkins
Data Generation

Job description

  • 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.

Requirements

  • 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, GitHub Actions, GitLab CI, etc.).
  • Strong analytical and debugging skills., * 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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