Senior Software Development Engineer in Test – AI-First Development

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, orchestrate, and validate automated verification systems for an AI-First Software Development Lifecycle.

• Function within an AI-First SDLC, ensuring test strategy and quality accountability.

• Create, develop, and sustain AI agent workflows for diverse test suites based on specifications.

• Establish and maintain test contexts for agents to deliver accurate test outputs.

• Assist in independent QA verification and contribute to system testing in production-like settings.

• Collaborate with cross-functional teams to convert business requirements into validation workflows.

⛳️ Requirements

• Must be at least 21 years of age.

• Provide proof of authorization to work in the United States.

• Hold a Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or possess equivalent professional experience.

• Ability to obtain and maintain any required certification or license, as dictated by law or policy.

• Over 5 years of professional experience in software development or test automation, including roles in senior or lead positions where the candidate was responsible for designing and delivering substantial verification systems.

• Proven daily use, for the past 6 months or longer, of at least one modern AI-assisted development tool such as Claude Code, Cursor, GitHub Copilot, or Windsurf, along with the ability to discuss effective usage patterns and failure modes in detail.

• Solid foundational knowledge in at least one major programming ecosystem (e.g., .NET/C#, JavaScript/TypeScript, Python, Java, or Go) and practical experience with at least one modern test automation framework (such as Playwright, Cypress, REST Assured, pytest, or similar).

• Familiarity with additional testing layers (UI, API, integration) is advantageous.

• Experience in deploying and managing test automation on at least one major cloud platform (Azure, AWS, or GCP).

• Azure experience is beneficial given the LVS footprint but is not mandatory.

• Proficient understanding of DevOps practices and CI/CD pipelines, including knowledge of how automated test gates integrate into a build pipeline.

• Demonstrable experience in performing comprehensive code reviews, identifying defects in both human- and AI-generated outputs, and providing constructive technical feedback.

• Exceptional written and verbal communication abilities, with the capacity to explain technical decisions and trade-offs to both technical and non-technical stakeholders.

• Strong interpersonal skills, enabling effective communication and interaction with management, fellow team members, and external contacts from diverse backgrounds and levels of experience.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Professional development opportunities