Senior Associate - Quality Engineering Lead - Automation & CI/CD

New York Life is a Fortune 100 mutual company with a legacy of purpose and integrity, evolving into a technology-enabled organization. They are seeking a Quality Engineering Lead responsible for driving automation-first and AI-enabled quality engineering capabilities across multiple value streams, establishing standardized frameworks and governance practices to enhance software quality and delivery.

Responsibilities:

• Define and execute the enterprise quality engineering and automation strategy, driving adoption of standardized frameworks, AI-enabled testing capabilities, and reusable accelerators across multiple value streams within a Center for Enablement (C4E) operating model
• Architect, develop, and govern scalable automation frameworks using Playwright and Mabl, enabling comprehensive testing across user interfaces, APIs, integrations, end-to-end workflows, and data validation scenarios
• Integrate automated testing into CI/CD pipelines using platforms such as Harness, Jenkins, and GitHub Actions, implementing automated quality gates, release readiness criteria, and continuous quality validation throughout the delivery lifecycle
• Lead the adoption of AI-enabled quality engineering practices, including agentic AI testing, AI-generated test creation, self-healing automation, intelligent failure analysis, defect pattern recognition, and validation of GenAI and LLM-based solutions
• Own and govern the enterprise QE tooling ecosystem, establishing standards for tool administration, licensing, cost optimization, onboarding, and operational excellence while mentoring teams and driving continuous improvement through metrics-driven insights

Requirements:

• Extensive experience designing and implementing enterprise-scale automation strategies with a strong focus on automation-first quality engineering and broad test coverage across UI, API, integration, and data validation layers
• Deep hands-on expertise with Playwright (JavaScript/TypeScript), including the development of scalable, reusable, and maintainable automation frameworks that support enterprise delivery needs
• Strong experience testing APIs, microservices, and cloud-native applications, including integration, contract, and end-to-end validation across distributed architectures
• Advanced experience integrating automated testing into CI/CD pipelines using platforms such as Harness, Jenkins, GitHub Actions, or similar tools, including implementation of automated quality gates and release controls
• Knowledge of AI, machine learning, and Generative AI testing concepts, including validation approaches for LLM-based applications, prompt quality, hallucination detection, bias assessment, and AI-driven test optimization
• Demonstrated ability to influence technical standards, mentor engineering teams, and drive adoption of quality engineering best practices within a Center for Enablement (C4E) or platform enablement model
• Experience with Mabl or similar AI-driven testing platforms supporting low-code automation, intelligent test maintenance, and autonomous quality validation
• Proficiency in JavaScript/Node.js and familiarity with Java and/or Python for automation framework development and test engineering
• Experience testing applications deployed on AWS and/or Google Cloud Platform, including containerized environments using Docker, Kubernetes, and related cloud-native technologies
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, or similar platforms, along with a track record of driving quality engineering innovation and tooling governance