Principal, Software Engineer - Segment QE Architect

Humana•New York, MA

3d•$156,600 - $215,400•Remote

About The Position

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. The role serves as an enterprise automation authority across Humana’s business segments, partnering with Engineering, Architecture, DevOps, Product, and Quality Engineering teams to accelerate software delivery through modern automation and intelligent quality practices. The position leads automation-first testing, establishes enterprise standards and frameworks, drives AI-enabled testing innovation, and provides technical leadership for quality engineering transformation. It 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. The role also acts as a strategic technical advisor and enterprise architect, promoting consistent automation practices, reusable assets, governance standards, and quality engineering excellence across Humana’s technology landscape. This is a remote position with occasional travel to Humana offices for training or meetings. Home or hybrid employees must have self-provided internet service with at least 25 Mbps download and 10 Mbps upload and work from a dedicated space that protects member PHI/HIPAA information. The scheduled workweek is 40 hours. The position is eligible for a performance-based bonus incentive. The stated annual base-pay range is $156,600–$215,400.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
At least 10 years of software quality engineering, automation engineering, SDET, or software engineering experience.
At least 8 years of hands-on experience designing and implementing enterprise automation frameworks.
Deep expertise in 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.

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

Define and execute Humana’s enterprise automation architecture strategy and roadmap.
Establish reusable enterprise automation frameworks for web, mobile, API, integration, and end-to-end testing.
Create quality engineering and automation standards, reference architectures, patterns, and best practices across business segments.
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 automation frameworks using Selenium, Playwright, Tricentis Tosca, REST Assured, Cypress, Appium, and related tools.
Establish automation architecture patterns for enterprise-scale testing of cloud-native, microservices, API-first, and distributed systems.
Create reusable automation accelerators, libraries, components, templates, and testing utilities.
Integrate automation frameworks into CI/CD pipelines using Azure DevOps and other enterprise delivery platforms.
Improve automation reliability, maintainability, performance, and execution efficiency.
Support centralized automation platform capabilities for delivery teams across the enterprise.
Establish integration patterns across Azure DevOps, qTest, Tosca, Jira, and CI/CD platforms.
Enable end-to-end traceability among business requirements, user stories, test cases, automation assets, defects, releases, and production outcomes.
Mentor quality engineers, SDETs, automation engineers, and technical leaders in enterprise automation practices.
Create reusable playbooks, standards, training materials, and onboarding programs.
Define and implement AI-enabled testing strategies, tools, and practices across the organization.
Lead adoption and development 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.
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 on automation strategies aligned with business goals.
Conduct automation architecture reviews and recommend modernization and optimization opportunities.
Support enterprise transformation initiatives involving automation, DevOps, cloud migration, and digital modernization.
Partner with leadership teams to establish enterprise automation governance and standards.
Integrate automation into modern CI/CD pipelines and DevOps operating models.
Implement quality gates, automated validations, and shift-left testing throughout the software development lifecycle.
Establish automation execution strategies for continuous testing and continuous delivery.
Partner with DevOps and Platform Engineering teams to optimize automation environments and execution infrastructure.
Promote automation-first delivery practices and engineering excellence.