Software Quality Engineer 5

Role Overview

We are looking for a Quality Engineering Lead to drive quality strategy and execution for a Adobe Express Photos(Windows based photo viewing/editing and screen capture app). The individual will own the end-to-end quality architecture for a complex, multi-process system with deep OS integrations. The candidate will combine strong engineering rigor, automation-first thinking, and experience leveraging modern AI/agentic frameworks to build scalable quality systems that keep pace with accelerated development cycles.

Key Responsibilities

Quality Strategy & Ownership

• Define and drive the quality strategy for a large Windows desktop application with complex architecture, multi-process interactions, and deep OS-level integrations.

• Establish measurable quality benchmarks across reliability, performance, memory, crash stability, and release readiness.

• Lead quality initiatives for complex Windows platform scenarios including multi-process orchestration, IPC communication, system resource management, and OS integration behaviors.

• Ensure stability across diverse hardware environments, graphics stacks, and Windows configurations.

• Partner closely with engineering and product teams to ensure quality is built into the development lifecycle rather than validated post-development.

Automation & CI/CD Excellence

• Architect and scale an automation-first testing strategy covering unit, integration, UI, performance, and system-level testing.

• Build and maintain robust automation pipelines integrated with CI/CD systems to enable reliable regression detection and faster release cycles.

• Improve signal quality from test infrastructure by reducing flakiness, improving test reliability, and enforcing strong quality gates.

AI-Driven Quality Engineering

• Design and implement agentic AI frameworks that automate aspects of testing, defect detection, regression analysis, and release validation.

• Build well-orchestrated AI agents capable of running automated validation workflows while maintaining high standards for reliability, explainability, and reproducibility.

• Define governance and validation frameworks to ensure AI-assisted quality workflows remain deterministic and trustworthy.

Operational Excellence

• Establish strong quality dashboards and metrics to monitor system health across builds and releases.

• Drive continuous improvement in test coverage, build stability, and production quality signals.

• Mentor engineers and cultivate a culture of engineering excellence around automation and quality ownership.

Required Qualifications

• 9+ years of experience in software quality engineering, with demonstrated experience leading quality initiatives for large-scale desktop or system-level applications.

• Strong experience testing complex Windows applications involving multi-process architectures, IPC, graphics pipelines, and OS-level integrations.

• Proven track record of designing and implementing scalable automation frameworks integrated with modern CI/CD systems.

• Deep understanding of reliability engineering principles, performance testing, and regression prevention strategies.

• Hands-on experience building or integrating AI/agentic automation frameworks to improve development or testing workflows.

• Strong programming skills (e.g., C++, C#, Python, or similar) with the ability to contribute directly to automation infrastructure.

• Experience working with large codebases and collaborating with cross-functional engineering teams.