Senior Associate - SDET - Automation Tester & Lead
Listed on 2026-08-28
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Software Development
AI QA / Validation Engineer
Location Designation:
Hybrid - 3 days per week
Technology, Data, AI and Ventures (TDAV)
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era — all backed by the stability and purpose of a mutual company built to last.
Role OverviewThe Senior SDET – Automation Tester & Lead will help advance quality engineering across web, REST API, and native mobile applications by designing, developing, and maintaining scalable test automation solutions integrated with modern CI/CD pipelines. This role combines deep technical expertise in software testing and automation with quality engineering leadership, partnering closely with developers, product owners, quality engineers, business analysts, and Dev Ops teams to enable reliable, high-quality software delivery.
WhatYou'll Do
- Design and advance scalable quality engineering solutions by developing, documenting, and maintaining automation frameworks for web, REST API, native iOS and Android, and connected applications; integrate automated testing into CI/CD pipelines and identify opportunities to apply AI to improve testing efficiency and effectiveness.
- Lead comprehensive testing across the software delivery lifecycle by creating and executing automated and manual functional, regression, integration, smoke, and end-to-end test suites; evaluate requirements, user stories, test scope, edge cases, and test results to identify defects and quality risks early.
- Improve automation and delivery effectiveness by identifying bottlenecks, brittle tests, repetitive manual activities, and coverage gaps; implement sustainable improvements to automation, CI/CD, testing processes, documentation, test data, and quality engineering practices.
- Establish visibility into software quality and risk by developing and communicating QA metrics across applications and Agile teams, including automation utilization, test failures, defect trends, coverage, risks, and mitigation opportunities, enabling technical and business stakeholders to make informed decisions.
- Provide quality engineering leadership across Agile teams by partnering with developers, product owners, QA engineers, analysts, and Dev Ops teams; mentoring colleagues on automation, AI, and CI/CD practices; participating in Agile ceremonies; and promoting consistent standards, documentation, knowledge sharing, and continuous improvement.
- 7+ years of software testing or quality engineering experience, including 4+ years designing and developing robust automation frameworks for native mobile applications and experience integrating automated testing into CI/CD pipelines.
- Strong hands-on experience testing web applications, REST APIs, and native iOS and Android applications, including developing automated end-to-end scenarios that validate API and UI results, interact with databases, and perform testing across multiple integrated applications.
- Strong programming and technical problem-solving capabilities using languages such as Java, Python, Ruby, or JavaScript, along with the ability to write SQL queries across multiple tables in Oracle databases.
- Demonstrated ability to design, maintain, and improve automated and manual testing approaches, including functional, regression, integration, smoke, exploratory, and end-to-end testing, with a strong understanding of shift-left quality engineering principles.
- Strong communication, collaboration, organization, and documentation skills, with the ability to clearly communicate quality status, risks, mitigation approaches, and improvement opportunities while mentoring and influencing developers, QA professionals, product owners, and other stakeholders.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent relevant experience designing and developing test automation solutions and frameworks.
- Experience with quality engineering and delivery tools such as JMeter, Postman, Jira, mabl, Sauce Labs, Harness, Git, Git Hub, Jenkins, and TestNG, as well as performance testing tools such as Load Runner or Neo Load.
- Experience applying AI-enabled tools to troubleshoot issues, create or update manual and automated test scripts, improve test coverage, or increase quality engineering productivity.
- Experience developing automated accessibility testing and performing manual accessibility testing for native mobile…
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