Top Hybrid QA & Test Engineering Jobs in Boston, MA

Leads sustaining quality engineering for Bevi products by identifying quality issues, driving design changes and corrective actions, implementing APQP and quality processes, qualifying suppliers, conducting root cause analysis, monitoring manufacturing reliability, and presenting quality metrics. Partners with engineering, manufacturing, supply chain, suppliers, customer care, and field service teams to improve product quality and resolve customer-impacting issues.

Performs production testing, calibration, troubleshooting, and RF tuning for medium- to high-complexity aerospace and defense hardware. Uses schematics, drawings, test specifications, specialized instruments, and RF measurement techniques across 1–28 GHz. Troubleshoots components and circuits, supports test equipment and fixture setup, assists engineering teams, and may guide entry-level technicians. Work is conducted onsite on day shift in Woburn, Massachusetts.

Develops automated manufacturing test solutions for WHOOP devices, including electrical test systems, instrumentation, fixtures, and Python-based test software. Responsibilities span design-for-test, test validation, factory bring-up, calibration, troubleshooting, data analysis, root cause investigation, and manufacturing yield improvement. Collaborates with multidisciplinary engineering teams and manufacturing partners to deploy scalable production testing globally.

Build and maintain integration and end-to-end testing frameworks across backend and frontend systems. Optimize CI/CD test execution, establish repository testing standards, develop mocking and service-isolation tools, and improve test coverage. Explore AI-driven test generation, regression detection, and flaky-test analysis. Partner with engineering teams to troubleshoot failures, monitor test-suite and pipeline health, and deliver scalable quality improvements.

Performs quality assurance engineering for software and AI-enabled applications. Responsibilities include designing test strategies, executing functional, regression, compatibility, data validation, model-output, bias, and prompt testing; identifying defects; automating tests with Selenium; managing QA processes; interpreting test data; supporting post-go-live issues; and mentoring junior team members while managing client expectations.

Leads root-cause investigations of field-returned automotive electronics using bench, board-level, component, mechanical, and product performance testing. Diagnoses failure modes, collaborates with hardware and software engineering teams on product improvements, documents investigations, and supports quality teams with 8D reports and customer responses. The role also performs soldering and IC swaps, investigates no-trouble-found conditions, and contributes to continuous improvement of radar products.

The Senior SDET develops and maintains automated tests, expands quality coverage, and supports CI/CD pipelines using Jenkins, GitHub Actions, and SonarQube. The role validates web applications, APIs, performance, integrations, and system behavior while promoting Agile QA practices. It also explores AI-assisted testing, evaluates AI/ML quality tools, troubleshoots system issues, reviews requirements and release documentation, and collaborates across teams to support high-quality releases.

The QA Automation Engineer II will design and enhance automated tests across Enterprise Applications, focusing on Salesforce integrations and ensuring system reliability and quality under various testing methodologies.

The Principal SDET will lead automation framework development, mentor teams, drive migration to modern testing solutions, and collaborate across engineering teams to enhance quality and efficiency.

Designs and maintains comprehensive QA strategies, test plans, and automated test suites for casualty catastrophe and liability risk analytics. Performs functional, integration, regression, end-to-end, REST API, system-level, and data-driven testing. Validates scientific and financial models, documents analytical work in Python and R, partners with developers and stakeholders, and improves automation frameworks and quality practices within Agile Scrum teams.