Principal, Software Engineering

Humana is hiring a Principal Automation Engineer, Tools Support & Onboarding to lead enterprise quality engineering tools, automation platforms, and onboarding. The role establishes tool strategy and standards, supports adoption and integrations, and advances AI-enabled testing and DevOps practices across the organization.

Responsibilities:

• Define and execute Humana‘s enterprise Quality Engineering tools strategy, roadmap, and adoption plans
• Establish standards, governance models, operating procedures, and best practices for enterprise testing and automation tools
• Evaluate, recommend, and support enterprise-wide quality engineering solutions that improve productivity, quality, and delivery outcomes
• Lead proof-of-concepts (POCs), pilots, and assessments of emerging testing, automation, AI, and DevOps technologies
• Serve as the enterprise subject matter expert for QE tools, test management platforms, automation solutions, and quality engineering best practices
• Provide technical leadership and operational support for enterprise quality engineering tools including Azure DevOps (ADO), qTest, Tricentis Tosca, Selenium, Playwright, AI-enabled testing platforms, and related solutions
• Lead onboarding activities for application, development, and QE teams to ensure successful adoption of enterprise tools and processes
• Partner with Segment QE teams to implement tool capabilities, improve utilization, and establish consistent testing practices across the organization
• Develop and maintain onboarding frameworks, implementation guides, training materials, knowledge repositories, standards, and self-service support resources
• Support tool configuration, administration, integrations, upgrades, troubleshooting, and operational readiness activities
• Establish end-to-end integration patterns across test management, requirements, automation, defect management, CI/CD, release management, and reporting platforms
• Enable traceability across business requirements, user stories, test cases, automation assets, defects, releases, and production outcomes
• Collaborate with vendor partners and internal platform teams to evaluate enhancements, roadmap opportunities, and tool optimization initiatives
• Drive continuous improvements in tool adoption, user experience, platform stability, governance compliance, and operational effectiveness
• Mentor Quality Engineers, Automation Engineers, SDETs, and delivery teams on enterprise tools, quality engineering practices, and automation capabilities
• Evaluate and implement AI-enabled capabilities that improve testing efficiency, user productivity, and quality outcomes
• Lead adoption of AI-powered testing solutions including test generation, intelligent test maintenance, risk-based testing, self-healing automation, and predictive quality analytics
• Conduct proof-of-concepts and pilots for emerging Generative AI technologies and intelligent testing platforms
• Develop best practices and governance standards for AI-assisted testing and automation solutions
• Partner with engineering teams to integrate AI capabilities into testing workflows, delivery pipelines, and quality engineering processes
• Drive innovation through intelligent automation, advanced analytics, and data-driven decision-making
• Provide technical consulting, guidance, and support to Quality Engineering and application delivery teams across Humana business segments
• Collaborate with architects, engineers, product teams, and platform organizations to implement effective testing and automation tool solutions
• Assess tool usage, process maturity, and adoption challenges, providing recommendations for optimization and continuous improvement
• Support enterprise transformation initiatives involving quality engineering modernization, DevOps, test management, automation, and AI adoption
• Partner with leadership teams to establish enterprise governance, support models, standards, and operational excellence practices
• Support integration of enterprise quality engineering tools within DevOps, CI/CD, and continuous testing operating models
• Enable automated quality gates, release readiness validations, and testing workflows throughout the software development lifecycle
• Implement best practices supporting continuous integration, continuous testing, release management, and continuous delivery
• Partner with DevOps, Platform Engineering, and application teams to improve tool integrations, automation workflows, and execution environments
• Promote engineering excellence through standardized tool adoption, automation enablement, process optimization, and continuous improvement initiatives

Requirements:

• Bachelor‘s degree in Computer Science, Engineering, Information Technology, or related field
• 12+ years of Quality Engineering, Test Management, Automation Engineering, SDET, or Software Engineering experience
• 8+ years of hands-on experience implementing, supporting, administering, or enabling enterprise testing and automation tools
• Deep expertise with enterprise quality engineering tools including:
• Azure DevOps (ADO)
• qTest
• Tricentis Tosca
• Selenium
• Playwright
• API Testing and Automation Tools
• CI/CD Platforms
• Experience supporting tool integrations across test management, automation, requirements, release management, and DevOps ecosystems
• Strong understanding of Agile, DevOps, Continuous Integration, Continuous Testing, and Continuous Delivery practices
• Experience leading onboarding, enablement, training, adoption, and support initiatives for enterprise engineering tools
• Excellent communication, leadership, consulting, stakeholder management, and problem-solving skills
• Experience in healthcare, insurance, financial services, or other highly regulated industries
• Experience implementing AI-driven testing tools and intelligent automation platforms
• Experience evaluating and conducting proof-of-concepts for enterprise software platforms and testing technologies
• 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 supporting enterprise-wide quality engineering, test management, or DevOps transformation initiatives