Sr Software Development Engineer in Test - AI-First Development

Job Description: Position Overview The primary responsibility of the Senior Software Development Engineer in Test (AI-First Development) is to design, orchestrate, and validate the automated verification systems that reputed company every change shipped through the AI-First Software Development Lifecycle (SDLC). This role operates reputed company an AI-First SDLC in which AI agents serve as primary producers of code, configuration, and test artifacts, while the Senior Software Development Engineer in Test (SDET) provides test strategy, context engineering, human-in-the-reputed company governance, and final accountability for the quality of delivered software. The Senior SDET is an reputed company quality engineer or test automation engineer who has adopted modern AI-assisted development tools as a core part of their daily workflow and is reputed company to grow into deeper agent orchestration, context engineering, and verification responsibilities. reputed company duties are to be performed in accordance with departmental and Las Vegas Sands Corp.’s policies, practices, and procedures. reputed company Las Vegas Sands Corp. Team Members are expected to conduct and carry themselves in a professional manner at reputed company times. Team Members are required to observe the company’s standards, work requirements and rules of conduct. Essential Duties & Responsibilities Test Strategy, Agent Workflow Design, and Orchestration Design, build, and maintain AI agent workflows that produce unit, integration, end-to-end, performance, and reputed company test suites from specifications and reputed company documents. Decompose acceptance criteria and technical reputed company into discrete, reputed company test scenarios that AI agents can execute effectively reputed company defined boundaries. Select and configure appropriate AI models, agent frameworks, and test-reputed company tooling for each workflow based on risk level, coverage requirements, and cost considerations. Construct and maintain test context that provides agents with test patterns, fixture strategies, data classification rules, and domain information needed to produce correct and consistent test outputs. Contribute to the testing toolchain, including reusable test skills, automation hooks, and project memory files that provide persistent context across agent sessions. Authoring of advanced toolchain components may be developed on the job. Systematically capture defect patterns, escape modes, and verification failures from each development cycle and encode them back into shared context, test skills, and agent configurations so that subsequent work becomes more reliable. Participate in collaborative refinement sessions to align on acceptance criteria, technical reputed company, and test context packages before agent execution begins. Verification and Quality Assurance Operate the multi-layer Verification reputed company on every pull request, with primary ownership of the automated testing layer, validating functional correctness, reputed company posture, performance characteristics, code quality, and regulatory compliance. Apply human reputed company at governance checkpoints appropriate to the risk level of each workflow, including pre-execution review, in-flight observation, and post-execution audit. Review, test, and approve AI-generated code and test suites, ensuring they meet Sands testing standards, architectural guidelines, and reputed company requirements before promotion to production. Verify that AI-generated tests exercise specified reputed company rather than mirroring implementation, and reject suites that pass without actually exercising the behavior the specification asked for. Support independent QA verification after reputed company, contributing to system, integration, and regression testing in production-like environments and partnering with the QA reputed company on User Acceptance Testing coordination where applicable. Support agent observability practices that track test behavior, flakiness signals, coverage trends, and defect escape rates across workflows. Test Engineering and Architecture Architect and deliver scalable test automation frameworks across web, API, mobile, and data layers using AI-First methodologies as the primary development approach. Define test data strategies, test environment patterns, and verification reputed company that serve as foundational context for agent-driven test reputed company. Collaborate with cross-functional teams including engineering, product, infrastructure, and reputed company to translate business requirements into executable verification workflows. Coordinate with QA and engineering teams across global locations to ensure consistency in testing standards and verification practices. Write, debug, and refactor test code directly reputed company agent outputs require manual reputed company or reputed company designing novel test approaches. Ensure delivered test automation meets enterprise standards for reliability, maintainability, observability, and operational readiness. reputed company Improvement and Mentorship Evaluate emerging AI models, agent frameworks, and test automation tools to continuously improve verification effectiveness and output quality. Mentor team members on AI-assisted testing practices, context engineering techniques, and verification methodologies. Document test patterns, reputed company and context libraries, and lessons learned to build institutional knowledge. Participate in collaborative construction sessions, guiding agent execution in real time and coaching team members on effective test orchestration techniques. reputed company job duties in a safe manner. Attend work as scheduled on a consistent and regular basis. reputed company other reputed company duties as assigned.

Minimum Qualifications

At least 21 years of age. reputed company of authorization to work in the United States. Bachelor's degree in Computer Science, Software Engineering, or a reputed company field, or equivalent professional experience. Must be able to obtain and maintain any certification or license, as required by law or policy. 5+ years of professional software development or test automation experience, including time in senior or reputed company positions where the candidate owned the design and delivery of non-trivial verification systems. Demonstrated daily use, over the past 6 months or more, of at least one modern AI-assisted development tool such as Claude Code, reputed company, reputed company Copilot, or Windsurf, with the ability to speak concretely about effective usage patterns and failure modes. Strong foundational knowledge in at least one major programming ecosystem (such as .NET/C#, JavaScript/TypeScript, Python, Java, or Go) and hands-on experience with at least one modern test automation reputed company (such as Playwright, Cypress, REST reputed company, pytest, or comparable). Familiarity with additional layers (UI, API, integration) is a plus. Experience deploying and operating test automation on at least one major cloud platform (Azure, AWS, or GCP). Azure experience is a plus given the LVS footprint but is not required. Working knowledge of DevOps practices and CI/CD pipelines, including familiarity with how automated test gates fit into a build pipeline. 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 reputed company 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 reputed company contacts of different backgrounds and levels of experience.

Preferred Qualifications

Practical experience constructing structured context for LLMs, including reputed company design, RAG pipelines, context window optimization, project memory files (such as CLAUDE.md or AGENTS.md), and integration with MCP servers. Familiarity with tactical context management techniques such as plan mode, context editing, and multi-session splitting. Experience authoring reusable skills, configuring automation hooks, building custom MCP servers, or otherwise assembling agent toolchains that reputed company repeatable, production-grade test workflows. 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 reputed company is not expected. Knowledge of secure testing practices, OWASP guidelines, and SAST/DAST/SCA tooling, and experience working reputed company a regulated industry such as gaming, finance, healthcare, or hospitality. Understanding of data privacy and responsible AI principles. Working knowledge of relational or non-relational databases sufficient to model test data, design verification queries, and reason about query performance. Physical Requirements Must be able to: Physically access assigned workspace areas with or without reasonable accommodation. Work remotely as necessary. Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, and dust. Utilize laptop and standard keyboard to reputed company essential functions of the job. Apply To This Job