Lead QE Engineer
wellington managementEast Boston (MA)
Lead QE Engineer
Posted today
wellington managementEast Boston (MA)
SENIORITY
Lead
About the role
Overview:
In this Lead Quality Engineer role, you will own and advance quality across a mission-critical trading platform within IIT Technology. You’ll drive end-to-end testing and automation to ensure resilient asset-management software delivery. You’ll collaborate with product, engineering, and business partners to translate complex requirements into robust test strategies. This position blends hands-on engineering with leadership to elevate QA practices and deliver reliable releases. You will lead innovative, AI-assisted testing efforts to shape scalable quality solutions. Compensation / Benefits comprehensive medical, dental, vision, and prescription coverage company-paid life insurance commuter benefits (pre-tax) 401(k) with pre-tax contributions pet insurance options
Responsibilities:
Define and drive the overall QA strategy across applications and initiatives Own and evolve test and automation strategies aligned to architecture and business goals Lead end-to-end test design, execution, and automation across multiple workstreams Develop and promote scalable automation frameworks and best practices Provide technical leadership and mentorship to QE engineers Collaborate with business, product, and engineering teams to translate requirements into test strategies Establish quality gates and release standards across the SDLC Identify and mitigate delivery risks and quality issues, updating stakeholders Diagnose and resolve performance, scalability, and stability issues in complex systems Champion QE best practices and AI-driven testing solutions Lead proofs-of-concept for new tools, frameworks, and automation approaches Drive CI/CD integration for continuous testing and faster releases Coordinate effectively with onshore and offshore teams
Key requirements:
Bachelor’s degree in Computer Science or related field 8+ years of QE/testing experience Proven leadership of QE efforts or teams Experience across functional, performance, and end-to-end testing Hands-on automation experience with BDD frameworks Strong software engineering practices and coding standards Experience building and maintaining CI/CD pipelines Strong analytical, problem-solving, and leadership skills Excellent communication with stakeholders at all levels Experience with AI-assisted development/testing tools (e.g., GitHub Copilot, Claude Code) leadership and mentoring strong communication problem-solving Java development or Java-based automation Gherkin/BDD syntax CI/CD (Jenkins)
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