Senior Quality Engineer

OutSystems • San Francisco, CA

3d • $204,000 - $235,000

About The Position

As a Senior AI Quality Engineer, you will be the strategic lead for quality within our AI-powered product ecosystem. This role extends beyond traditional QA responsibilities; you will be responsible for defining how we validate non-deterministic AI outputs and complex microservices. You will lead the integration of AI tools, utilizing applications like Claude Code, Cursor, and Gemini to evolve our SDLC toward high-velocity, AI-augmented delivery. You will guide the quality strategy for high-impact initiatives, ensuring that our AI products are functional, reliable, ethical, and scalable.

Requirements

• Advanced experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• Proven track record of managing product delivery in an Agile environment with a focus on CI/CD and automated quality gates.
• Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Playwright, PyTest).
• Ability to drive initiatives from ideation to completion with minimal oversight, requiring only strategic alignment with leadership.
• 5+ years in Quality Engineering or Software Development, with a significant focus on automated systems and AI-based applications.

Responsibilities

• Define and implement the end-to-end test strategy for major AI product areas.
• Align testing goals with broader engineering objectives.
• Provide technical leadership for complex automation challenges.
• Support the adoption of Cursor and Claude Code to refactor frameworks, generate synthetic data, and automate the creation of sophisticated test suites.
• Lead the team in designing coverage for AI-based features, including prompt injection testing, model hallucination checks, and performance benchmarking.
• Mentor junior engineers on using Gemini to generate use cases.
• Lead triage for all defects.
• Analyze trends in model behavior and system performance to implement systemic improvements to the development pipeline.
• Define and enforce "smart" quality gates within the CI/CD pipeline.
• Hold responsibility for automated suites, ensuring they are reliable, efficient, and capable of catching regressions in both code and model output.
• Report on quality metrics and team velocity to stakeholders.
• Document AI-testing standards and formally mentor the team on integrating Generative AI into their daily engineering workflows.

Benefits

• Real growth opportunities.
• Structured programs designed to scale your expertise.
• Professional Development Fund and Internal Mobility Program.
• A global collective of world-class talent.
• Inclusive culture where talented individuals from all backgrounds are empowered to learn, experiment and make an impact.
• Equal consideration regardless of race, origin, religion, sex, sexual orientation, gender identity, disability, veteran status, or any other protected status.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed