Principal, Software Engineering

Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences.

The Principal, Automation Engineer, Tools Support & Onboarding is a senior hands-on technical leader responsible for enabling, supporting, and advancing enterprise Quality Engineering (QE) tools, automation platforms, and onboarding capabilities across Humana. This role serves as a trusted technical advisor to Quality Engineering, Engineering, Dev Ops, Product, and Architecture teams, ensuring successful adoption, integration, and utilization of enterprise testing and automation solutions.

The Principal Automation Engineer will lead the implementation and support of enterprise quality engineering tools and platforms, establish best practices, drive tool standardization, and enable teams to maximize the value of automation and testing investments. This individual will be responsible for supporting and optimizing technologies such as Azure Dev Ops (ADO), qTest, Tricentis Tosca, Selenium, Playwright, API automation frameworks, CI/CD platforms, AI-enabled testing solutions, and related quality engineering tools while improving delivery efficiency, quality, traceability, and governance.

This role functions as a senior technical leader and subject matter expert, ensuring consistent tool adoption, onboarding processes, training programs, integration standards, operational support, and continuous improvement across Humana's quality engineering ecosystem.

• 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 Dev Ops 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 Dev Ops (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…