Automation Test Lead
About The Position
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. As an Automation Test Lead, 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 value stream, 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 on 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 pre and post-implementation reviews, drive root cause analysis to refine testing processes, and improve essential quality metrics.
Requirements
- Must be authorized to work in the U.S.
- BS in Computer Science or equivalent experience
- 7 + years of experience in Quality Engineering
- 5+ 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
Nice To Haves
- Insurance & Financial services domain knowledge
- Experience with any of the reporting tools – Extent, Tableau, Power BI
- Ability to demonstrate creating test AI agents for Distributed Applications
Responsibilities
- Adopt, evolve, and govern the Quality Engineering strategy, standards, and operating model and adopt contemporary technology to ensure consistent, scalable, and high-quality delivery.
- Design, implement, and maintain robust automated test frameworks across applications, enabling reliable and repeatable validation of complex systems.
- Drive test automation through hands-on creation of automated test cases, test data management, review of automation delivered by teams, and resolution of complex automation challenges adhering to software engineering best practices and meet expected quality standards.
- Proven ability to track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
- 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.
- Diagnose and resolve complex defects across distributed systems and third-party integrations.
- Improve system testability, observability, and reliability through direct code contributions and collaboration on system and application design.
- Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.
- Mentor Quality Engineers with best practices, automation patterns, and scalable test design approaches.
- Proficient with DevOps tools and ability to participate in production release planning, execution.
- Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
