About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead QA Engineer (AI Native) based in United States.
Responsibilities
- Design and build the end-to-end testing pipeline, including pre-merge checks, nightly test runs, release validation, and production quality gates.
- Define the quality strategy for AI-generated code, identifying high-risk areas, establishing appropriate test coverage, and ensuring the approach remains sustainable as the product scales.
- Build and maintain continuous automated UI testing across browsers and mobile devices, including AI-agent-driven testing approaches.
- Evaluate, select, and integrate external testing tools and services where they can improve reliability, coverage, or efficiency.
- Own product reliability from a technical QA perspective, with particular attention to critical financial workflows.
- Collaborate closely with engineering and DevOps teams to embed quality throughout the development lifecycle and balance delivery speed with appropriate safeguards.
- Use AI coding agents such as Claude Code, Codex, Cursor, or similar tools on a daily basis to create, maintain, and evolve testing solutions.
- Proactively identify quality risks, introduce improvements, and share testing practices and knowledge across the team.
Requirements
- Proven experience designing and owning testing processes for large, complex products with high reliability requirements, such as in a QA Architect, Senior QA/SDET, or senior engineering role with responsibility for testing strategy.
- Strong software engineering foundation, including a solid understanding of system architecture, backend services, CI/CD pipelines, and deployment processes.
- Hands-on experience building automated tests and integrating testing into CI/CD workflows.
- Practical daily experience using AI coding agents such as Claude Code, Codex, Cursor, or comparable tools as an integral part of software development.
- Genuine interest in AI-first development and the ability to adapt testing practices to AI-generated code.
- Strong autonomy and ownership, with the ability to take loosely defined challenges, develop solutions, and drive them through implementation without detailed specifications.
- Ability and willingness to remain hands-on as an individual contributor within a small, senior-level team.
- Strong problem-solving, communication, and collaboration skills.
- Fluent Russian.
Conditions
- Fully remote, full-time opportunity.
- Initial pay level or salary range shared with candidates during the recruitment process and before employment begins.
- 28 calendar days of vacation per year.
- 7 wellness days per year that can be used for personal matters, rest, or recovery without taking sick leave.
- Referral bonuses of up to $5,000 for successful candidate recommendations.
- 50% reimbursement for professional training, international conferences, and professional meetings.
- Corporate discounts for English lessons.
- Health benefits, including reimbursement of up to $1,000 gross per year per employee where corporate medical insurance is not available.
- Workplace support, including equipment and workplace essentials in offices or coworking locations.
- Internal gamified recognition system.