Senior Software Engineer - Quality

Responsibilities

• Quality Engineering Strategy Execution: Adopt, evolve, and govern the Quality Engineering strategy, standards, and operating model and adopt contemporary technology to ensure consistent, scalable, and high-quality delivery.
• Test Automation Architecture & Frameworks: Design, implement, and maintain robust automated test frameworks across applications, enabling reliable and repeatable validation of complex systems.
• Quality Metrics & Outcomes: Proven ability to track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
• Agile & Scaled Delivery: Demonstrated track record of testing and quality execution within Agile and Scaled Agile frameworks, including sprint-level testing, end-to-end validation, and regression, performance, security and accessibility for external facing digital applications.
• End-to-End Quality Execution: Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.
• Mentorship & Engineering Excellence: Mentor Quality Engineers with best practices, automation patterns, and scalable test design approaches.
• DevOps & Release support: Proficient with DevOps tools and ability to participate in production release planning, execution.
• AI & GenAI-Driven Innovation: Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.

Requirements

• Must be authorized to work in the U.S.
• BS in Computer Science or equivalent experience
• 5 + years of experience in Quality Engineering
• 3+ years of experience in leading Quality engineering teams
• Experience with programing language - Java, JavaScript /Typescript, Python
• Experience with Test automation tools -Playwright, Karate, BDD, Selenium, Blazemeter/JMeter, Test Data Management tool
• Experience with DevOps and RE tools chain like Sonar, Nexus, Jenkins, uDeploy, Git, Splunk, Dynatrace, Terraform, AppScan, Checkmarx, CA DevTest
• Experience with cross browser testing - Browser stack, Selenium Grid, OpenShift
• Experience with Gen AI - GitHub Copilot, and Model Context Protocol (Playwright, GitHub)
• Strong experience in risk-based approach for implementing End to End test strategies
• Knowledge of Agile Scrum/SAFE methodology and effectively use collaboration tools like Rally/Jira
• Knowledge of AWS and/or GCP cloud technology - Code Build, Code Pipeline, Containers
• Insurance & Financial services domain knowledge
• Experience with any of the r

Additional Information

Senior Software Engineer - IE08CE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. A new role can expand your knowledge and your network and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager. The Employee Benefits Quality Engineering team is actively advancing the quality engineering environment for policy administration application suites. As a Senior Quality Engineer, you will be instrumental in developing frameworks for automated testing and managing test data to facilitate the organization's transition to Continuous Testing practices using Gen AI technologies. The role involves collaborating with multiple vendors, IT leadership, and business units to ensure automation priorities are consistent with overarching IT strategies. Additionally, you will promote the adoption of automated testing solutions and related tools across the enterprise, assist in defining quality engineering standards and best practices, provide technical guidance to enhance testing efficiency, mentor scrum QA teams on established practices, and report key performance indicators. Working closely with Scrum Masters, Software Engineers, and other Quality Leads, you will strive to increase test coverage, optimize automated test execution times for expedited release readiness, support post-implementation reviews, drive root cause analysis to refine testing processes, and improve essential quality metrics.

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