Principal, Software Engineer - Enterprise Automation Frameworks & Support

Humana•New York, MA

4d•$156,600 - $215,400•Remote

About The Position

Humana is seeking a senior technical leader to define, design, and scale enterprise-wide test automation strategies, frameworks, platforms, and AI-enabled quality engineering capabilities. The role serves as an enterprise automation authority across Humana’s business segments, partnering with Engineering, Architecture, DevOps, Product, Quality Engineering, and Segment QE Architects to accelerate software delivery through modern automation and intelligent quality practices. The Principal Automation Engineer leads automation-first testing adoption, establishes enterprise standards and frameworks, drives AI-enabled testing innovation, and provides technical leadership for quality engineering transformation. The role designs scalable automation solutions using technologies such as Selenium, Playwright, REST Assured, Tricentis Tosca, Azure DevOps, qTest, API automation frameworks, CI/CD pipelines, and AI-powered testing agents. It combines hands-on engineering expertise with strategic direction to promote engineering standards, reusable platforms, modernization, and consistent, reliable, and secure technology solutions. The role is remote, with occasional travel to Humana offices for training or meetings. Home or hybrid employees must have internet service with at least 25 Mbps download and 10 Mbps upload and work from a dedicated space without ongoing interruptions to protect member PHI/HIPAA information. The position is scheduled for 40 hours per week. Compensation is estimated at $156,600–$215,400 per year, with eligibility for a bonus incentive plan.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a 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 Selenium, Playwright, Tricentis Tosca, Cypress, Appium, and API automation frameworks.
Extensive experience with Azure DevOps (ADO), qTest, CI/CD pipelines, and DevOps practices.
Strong programming skills in Java, C#, TypeScript, JavaScript, Python, or similar languages.
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.
Ability to meet the home-work requirements: internet service of at least 25 Mbps download and 10 Mbps upload, and a dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information.

Nice To Haves

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.

Responsibilities

Work with Segment QE Architects to define and execute Humana’s enterprise automation architecture strategy and roadmap.
Create enterprise quality engineering and automation standards, reference architectures, patterns, and best practices.
Evaluate emerging automation technologies and AI-driven testing solutions.
Serve as the enterprise subject matter expert for modern quality engineering practices.
Design, develop, and maintain scalable, reusable automation frameworks using tools such as Selenium, Playwright, Tricentis Tosca, REST Assured, Cypress, and Appium.
Build automation solutions for cloud-native, microservices, API-first, web, mobile, and distributed application architectures.
Develop reusable automation components, libraries, utilities, templates, and accelerators.
Integrate automation into CI/CD pipelines using Azure DevOps and other enterprise delivery platforms.
Improve automation stability, maintainability, execution speed, and test effectiveness.
Integrate automation 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.
Lead development and adoption of AI-based testing agents for test generation, self-healing automation, defect prediction, risk-based testing, and intelligent test execution.
Evaluate 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.
Promote automation adoption within 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 for 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.
Monitor and improve testing metrics, automation effectiveness, and quality outcomes.
Achieve success measures including increased adoption of standardized frameworks, improved coverage and reliability, reduced manual testing effort, earlier defect detection, implementation of AI-powered testing, better quality reporting, and improved stakeholder satisfaction and business outcomes.