Sands

Sands

Sr Software Development Engineer in Test - AI-First Development

Remote, United States · Senior

Sponsorship not specifiedDetected 31 days ago
JavaScriptTypeScriptPythonJavaC#Code ReviewGitAWSGCPAzureCloud PlatformsCI/CDDevOpsRESTLLMsRAGAgentic AIAI OrchestrationCybersecurityCypressPlaywrightpytestJMeterLoad Testing

About the role

  • All duties are to be performed in accordance with departmental and Las Vegas Sands Corp.'s policies, practices, and procedures.
  • Team Members are expected to conduct and carry themselves in a professional manner at all times.

Requirements

  • At least 21 years of age.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • Demonstrated experience conducting thorough code reviews, identifying defects in both human- and AI-generated outputs, and providing constructive technical feedback.
  • Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade-offs to both technical and non-technical stakeholders.
  • Strong interpersonal skills with the ability to communicate effectively and interact appropriately with management, other Team Members and outside contacts of different backgrounds and levels of experience.
  • Must be able to obtain and maintain any certification or license, as required by law or policy.

Nice to have

  • Familiarity with tactical context management techniques such as plan mode, context editing, and multi-session splitting.
  • Exposure to one or more specialized testing approaches such as performance and load testing (K6, JMeter, Gatling), contract testing, mutation testing, or chaos engineering.
  • Proficiency in any one is a plus
  • depth across all is not expected.
  • Understanding of data privacy and responsible AI principles.
  • Physical Requirements
  • Must be able to:
  • Physically access assigned workspace areas with or without reasonable accommodation.

This listing is sourced directly from Sands's careers page and normalized into a canonical job model.