Lead QA Engineer (AI native)
Quick Summary
Proven experience designing and owning testing processes for large, complex products with high reliability requirements, such as in a QA Architect, Senior QA/SDET,
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.
- 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
~1 min read- 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.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- October 2, 2026
- First seen
- October 2, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 2, 2026
Signal breakdown
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