Principal Test Engineer Automation (Python) Team Lead - OP02086

At Dev.Pro, we partner with businesses worldwide, from startups to Fortune 500 companies across fintech, retail, hospitality, and beyond. With a remote-first mindset and a team in 55+ countries, we focus on aligning technical expertise with client needs, communicating clearly, and staying adaptable as priorities shift.

• 7+ years of expertise in end-to-end test automation with a proven track record of driving automation strategy and technical roadmaps.
• Experience as a Team Lead, managing performance reviews, PDPs, and defending architectural decisions to senior stakeholders.
• Ability to evaluate, implement, and support the entire QA toolchain to improve delivery velocity and system reliability.
• Upper-Intermediate+ English for client-facing solution discussions and technical presentations.
• Expert-level Python with a deep focus on Object-Oriented Programming (OOP).
• Hands-on experience building and scaling frameworks using Playwright, Selenium, and pytest.
• Experience integrating AI into workflows (AI Agents, log analysis, Playwright+AI).
• Proven ability to handle intricate configurations of large-scale POS systems and complex client environments.
• Experience designing and maintaining test infrastructure in Cloud environments.
• Hands-on proficiency with Terraform, Docker, and Kubernetes.
• Experience embedding automated suites into deployment pipelines to ensure a "quality-first" CI/CD culture.

Desirable:

• Experience working with complex, large-scale POS systems with diverse client configurations.
• Experience working with AWS.

Strategic Leadership & Ownership:

• Define the long-term vision for AQA, driving the evolution of tools, processes, and testing methodologies across the organization.
• Confidently defend architectural decisions and influence senior engineering stakeholders to prioritize quality initiatives.
• Lead and mentor engineers through performance reviews and tailored Professional Development Plans (PDPs).
• Act as the technical face of QA in client-facing presentations and high-level solution discussions.

Framework & Tools Implementation:

• Design, scale, and maintain high-performance automation frameworks using Python (OOP), Playwright, and pytest.
• Implement AI workflows, including autonomous agents, AI-enhanced Playwright scripts, and automated log analysis.
• Manage quality for large-scale POS systems with diverse client configurations and deep integrations.

Infrastructure & DevOps:

• Full ownership of designing and supporting cloud-based test environments on AWS.
• Hands-on implementation of Infrastructure as Code via Terraform and containerization using Docker/Kubernetes.
• Deep integration of automated suites into delivery pipelines to ensure seamless, high-velocity deployments.