Principal, Software Engineer - Enterprise Automation Frameworks & Support​

Humana is hiring a Principal Automation Engineer to define and scale enterprise test automation strategies, frameworks, platforms, and AI-enabled quality engineering. The role provides hands-on technical leadership, establishes automation standards, and partners across engineering teams to improve software delivery speed, reliability, and quality.

Responsibilities:

• 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
• 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
• 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
• 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 Engineering teams to improve automation environments, test infrastructure, and execution scalability
• Promote engineering excellence through automation-first approaches, code quality, and software craftsmanship practices
• Monitor and improve testing metrics, automation effectiveness, and quality outcomes to support reliable software delivery

Requirements:

• Bachelor‘s degree in Computer Science, Engineering, Information Technology, or related field
• 10+ years of software quality engineering, automation engineering, SDET, or software engineering experience
• 8+ years of hands-on experience designing and implementing enterprise automation frameworks
• Deep expertise with automation technologies including:
• Selenium, Playwright, Tricentis Tosca, Cypress, Appium, API Automation frameworks
• Extensive experience with Azure DevOps (ADO), qTest, CI/CD pipelines, and DevOps practices
• Strong programming skills in languages such as Java, C#, TypeScript, JavaScript, Python, or similar
• Experience implementing automation solutions for web, API, microservices, cloud-native, and distributed applications
• Strong understanding of Agile, DevOps, Continuous Integration, Continuous Testing, and Continuous Delivery practices
• Excellent communication, leadership, consulting, and stakeholder management skills
• Experience in healthcare, insurance, financial services, or other highly regulated industries
• Experience implementing AI-driven testing tools and intelligent automation platforms
• Experience building AI-based testing agents and autonomous quality engineering solutions
• Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and AI-assisted software testing
• Experience with cloud platforms such as Azure, AWS, or GCP
• Experience leading enterprise-wide quality engineering transformation initiatives