Software Development Engineer in Test - SDET

NATIONMIND LLC

Dallas, TX, United States

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Code Review Continuous Integration Data Validation Data Cleansing Software Debugging Github

+24 more

Python (Programming Language) Machine Learning Natural Language Processing Software Tools Selenium Software Testing Automation Framework Strategies of Testing Google Cloud Postman Large Language Models Cypress (Programming Language) 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.