Lead QA Engineer (AI native)

Lever, Inc.; Ireland; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Fully remote

28 days vacation per year

7 wellness days per year

Referral bonuses up to $5,000

Job summary

Lever, Inc. is seeking a Lead QA Engineer (AI Native) based in Ireland for a fully remote role. You will own the quality strategy for AI-generated code and design end-to-end testing pipelines with pre-merge checks, nightly runs, and production gates.

Your work will focus on reliability for critical financial workflows and cross-functional collaboration with engineering and DevOps. You will apply hands-on automation, AI-agent tooling, and scalable testing practices to ensure release safety and

Qualifications

• Experience designing testing for large, complex products with high reliability requirements.
• Hands-on automated testing and CI/CD integration experience.
• Practical daily use of AI coding agents in software development.
• Fluent Russian language and ability to operate in a multilingual team.

Responsibilities

• Design and build end-to-end testing pipeline including pre-merge checks and production gates.
• Define quality strategy for AI-generated code and high-risk areas.
• Develop automated UI tests across browsers and mobile devices; incorporate AI-agent testing.
• Collaborate with Engineering and DevOps to embed quality throughout the lifecycle.

Skills

Automation testing

Testing strategy

CI/CD

AI testing

Hands-on

Autonomy

Communication

Russian language

Tools

Claude Code

Codex

Cursor

Job description

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 Ireland. 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.

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