Lead QA Engineer (AI native)

Lever, Inc.; France; À distance; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Fully remote

Vacation: 28 days per year

Wellness days: 7 per year

Referral bonus up to $5,000

Training reimbursement: 50%

English lessons discounts

Health benefits (insurance subsidies)

Equipment & coworking support

Gamified recognition program

AI-first development environment

Résumé du poste

Lever, Inc. is seeking a Lead QA Engineer (AI Native) based in France to own the quality strategy for a high-reliability AI-first product.

The role combines hands-on test automation with AI-agent workflows in a small, senior engineering team, focusing on end-to-end testing and release safety for critical financial flows. You will define testing coverage, implement scalable automation, and leverage Claude Code, Codex, Cursor, and similar tools to continuously improve quality.

Qualifications

• Proven experience designing and owning testing processes for large, complex products with high reliability requirements.
• Strong software engineering foundation including backend/services and CI/CD.
• Hands-on experience building automated tests and integrating testing into CI/CD workflows.
• Daily use of AI coding agents as part of software development.
• Interest in AI-first development and testing AI-generated code.
• Autonomy to own challenges and drive solutions end-to-end.
• Ability to stay hands-on as an individual contributor in a small senior team.
• Excellent problem-solving and collaboration skills.
• Fluent Russian.

Responsabilités

• Design and build end-to-end testing pipeline (pre-merge, nightly, release validation, production gates).
• Define the quality strategy for AI-generated code and high-risk areas.
• Build and maintain automated UI tests across browsers and devices, including AI-driven tests.
• Evaluate, select and integrate external testing tools and services.
• Own product reliability, focusing on critical financial workflows.
• Collaborate with Engineering/DevOps to embed quality across the lifecycle.
• Use AI coding agents daily to create and evolve testing solutions.
• Identify risks, drive improvements, and share best practices.

Connaissances

QA architecture

SDET

CI/CD pipelines

Automation

AI testing

AI coding agents

Russian language

Hands-on testing

Outils

Claude Code

Codex

Cursor

Description du poste

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 France.

Join a small, senior engineering team building a product in an AI-first development environment.
You will take ownership of the quality strategy for a complex codebase where AI agents generate most of the code.
The product includes critical financial flows, making reliability, testing, and release safety central to the role.
You will design the end-to-end testing pipeline, from pre-merge validation through release and production gates.
The role combines hands-on test automation, engineering, AI-agent workflows, and continuous quality improvement.
As an individual contributor in a flat team, your impact will come through automation, scalable processes, and intelligent use of AI.
You'll have substantial autonomy to define how quality is managed in an evolving AI-native engineering environment.

Accountabilities

• 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.

Benefits:

• 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. This can be used toward personal health insurance or eligible medical expenses for the employee and close relatives.
• Workplace support, including equipment and workplace essentials in offices or coworking locations. Where applicable, reimbursement of up to $1,000 gross once every three years is available for coworking costs or home-office equipment such as a desk, chair, and internet.
• Internal gamified recognition system where colleagues can award bonuses that can be exchanged for merchandise, team-building activities, massage certificates, and other rewards.
• Opportunity to work within a small, experienced, and highly autonomous engineering team focused on AI-first development.

We appreciate your interest and wish you the best!

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