Principal, Software Engineer - Segment QE Architect
Job in
New York City, Richmond County, New York, USA
Listed on 2026-10-22
Listing for:
Humana
Full Time
position Listed on 2026-10-22
Job specializations:
-
Software Development
DevOps, AI Engineer (Applied/Software), Software Architect
Job Description & How to Apply Below
Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. The Principal, Segment QE Architect is a senior technical leader responsible for defining, designing, and scaling enterprise-wide test automation strategies, frameworks, platforms, and AI-enabled quality engineering capabilities. This role serves as the enterprise automation authority across Humana's business segments, partnering closely with Engineering, Architecture, Dev Ops, Product, and Quality Engineering teams to accelerate software delivery through modern automation and intelligent quality practices.
The Principal Automation Segment Architect will lead the adoption of automation-first testing approaches, establish enterprise standards and frameworks, drive AI-enabled testing innovations, and provide technical leadership for quality engineering transformation initiatives. This individual will be responsible for designing scalable automation solutions leveraging technologies such as Selenium, Playwright, REST Assured , Tricentis Tosca, Azure Dev Ops (ADO), qTest, API automation frameworks, CI/CD pipelines, and AI-powered testing agents, while enabling delivery teams to achieve greater speed, reliability, and quality.
This role functions as a strategic technical advisor and enterprise architect, ensuring consistent automation practices, reusable assets, governance standards, and quality engineering excellence across Humana's technology landscape.
Key Responsibilities Enterprise Automation Strategy & Architecture Define and execute Humana's enterprise automation architecture strategy and roadmap. Establish reusable enterprise automation frameworks supporting web, mobile, API, integration, and end-to-end testing. Create standards, reference architectures, patterns, and best practices for quality engineering and automation across all business segments. Evaluate emerging automation technologies and AI-driven testing solutions to continuously improve engineering effectiveness. Serve as the enterprise automation subject matter expert for modern quality engineering practices.
Automation Framework Engineering & Platform Enablement Design, develop, and maintain scalable automation frameworks using technologies including Selenium, Playwright, Tricentis Tosca, REST Assured, Cypress, Appium, and related tools. Establish automation architecture patterns that support enterprise-scale testing across cloud-native, microservices, API-first, and distributed systems. Create reusable automation accelerators, libraries, components, templates, and testing utilities. Lead integration of automation frameworks into CI/CD pipelines using Azure Dev Ops and other enterprise delivery platforms.
Drive continuous improvement of automation reliability, maintainability, performance, and execution efficiency. Support centralized automation platform capabilities that enable multiple delivery teams across the enterprise. Establish enterprise integration patterns across test management and delivery tools including Azure Dev Ops, qTest, Tosca, Jira, and CI/CD platforms. Enable end-to-end traceability between business requirements, user stories, test cases, automation assets, defects, releases, and production outcomes.
Mentor quality engineers, SDETs, automation engineers, and technical leaders on enterprise automation practices. Create reusable playbooks, standards, training materials, and onboarding programs AI-Powered Quality Engineering & Intelligent Testing Define and implement AI-enabled testing strategies, tools, and practices across the organization. Lead development and adoption of AI-based testing agents capable of test generation, self-healing automation, defect prediction, risk-based testing, and intelligent test execution.
Evaluate emerging Generative AI technologies and intelligent automation platforms for quality engineering use cases. Establish frameworks for AI-assisted test design, automated script generation, and test maintenance optimization. Partner with engineering teams to integrate AI capabilities into quality engineering workflows and delivery pipelines. Drive innovation through intelligent automation and predictive quality analytics. Enterprise Consulting & Architecture Leadership Provide architecture guidance and technical leadership to Quality Engineering and engineering teams across Humana business segments.
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