Principal, Software Engineer - Segment QE Architect

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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, DevOps, 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 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 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 DevOps 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 DevOps, 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.

Collaborate with solution architects, engineers, platform teams, and product delivery organizations to define automation strategies aligned with business goals.

Conduct automation architecture reviews and provide recommendations for modernization and optimization.

Support large-scale enterprise transformation initiatives involving automation, DevOps, cloud migration, and digital modernization.

Partner with leadership teams to establish enterprise automation governance and standards.

DevOps, CI/CD & Engineering Excellence

Drive automation integration within modern CI/CD pipelines and DevOps operating models.

Implement quality gates, automated validations, and shift-left testing strategies throughout the software development lifecycle.

Establish automation execution strategies supporting continuous testing and continuous delivery.

Partner with DevOps and Platform Engineering teams to optimize automation environments and execution infrastructure.

Promote engineering excellence through automation-first delivery practices.

Use your skills to make an impact

Required Qualifications

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.

Preferred Qualifications

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.

Success Measures

Increased enterprise adoption of standardized automation frameworks and automation platforms.

Improved automation coverage, execution reliability, and maintenance efficiency across delivery teams.

Measurable reduction in manual testing effort through intelligent automation and AI-enabled testing capabilities.

Improved software quality through earlier defect detection and enhanced test effectiveness.

Successful implementation of AI-powered testing agents and intelligent quality engineering capabilities.

Enhanced visibility of quality metrics through actionable dashboards and enterprise reporting.

Improved stakeholder satisfaction and business outcomes through scalable quality engineering solutions.

Work at Home Require