Principal, Software Engineer - Enterprise Automation Frameworks & Support

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. Principal Automation Engineer, Enterprise Automation Frameworks & Support 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, DevOps, Product, and Quality Engineering teams to accelerate software delivery through modern automation and intelligent quality practices. Principal Automation Engineer, Enterprise Automation Frameworks & Support 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 DevOps (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 serves as a senior technical leader, providing hands-on engineering expertise and strategic direction to deliver scalable, high-quality software solutions. The Principal Software Engineer drives engineering standards, promotes reusable platforms and frameworks, and partners across the enterprise to accelerate innovation, enable modernization, and ensure consistent, reliable, and secure technology solutions across Humana. Key Responsibilities Enterprise Automation Strategy Working closely with Segment QE Architects, define and execute Humana's enterprise automation architecture strategy and roadmap to drive scalable, standardized, and innovative quality engineering solutions across the organization. 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, reusable automation frameworks using technologies including Selenium, Playwright, Tricentis Tosca, REST Assured, Cypress, Appium, and related tools. Build and enhance automation solutions that support testing across cloud-native, microservices, API-first, web, mobile, and distributed application architectures. Develop reusable automation components, libraries, utilities, templates, and accelerators to improve delivery efficiency and consistency. Implement and maintain automation integrations within CI/CD pipelines using Azure DevOps and other enterprise delivery platforms. Drive continuous improvements in automation stability, maintainability, execution speed, and overall test effectiveness. Integrate automation solutions with enterprise tools including Azure DevOps, qTest, Tosca, Jira, and CI/CD ecosystems. Enable end-to-end traceability across requirements, user stories, test cases, automation assets, defects, releases, and production outcomes. Provide technical mentorship and guidance to Quality Engineers, SDETs, Automation Engineers, and development teams. Create and maintain automation standards, best practices, technical documentation, playbooks, and training materials. 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. DevOps, CI/CD & Engineering Excellence Drive automation adoption within modern DevOps, CI/CD, and continuous testing practices. Implement automated quality gates, validation frameworks, and shift-left testing strategies throughout the software development lifecycle. Develop and optimize automation execution strategies supporting continuous integration, continuous delivery, and release readiness. Partner with DevOps and Platform Eng