QA Engineer

Bridgeway is seeking a QA Engineer to work in a fast-paced, results driven environment, collaborating with other engineers and analysts. The QA Engineer is responsible for ensuring the quality, reliability, and performance of software products through automated and manual testing practices. Quality Assurance Engineers are integral to the SDLC, leveraging automation frameworks, tooling, and testing strategies to detect defects early, validate requirements, and prevent regressions. This role focuses on building scalable, repeatable, and maintainable automated test solutions that support CI/CD. Quality Assurance Engineers partner closely with software engineers, quality analysts, product owners, business analysts, scrum masters, and platform teams to ensure quality is embedded throughout the development process—improving user experience while reducing risk, rework, and post-release defects. We are seeking a highly motivated individual who thrives in a highly productive team centric environment.

This is a remote position with preference given to East Coast candidates.

 

Responsibilities:

• Analyze and understand business, product, infrastructure, and technical requirements to ensure comprehensive test coverage.
• Collaborate with cross-functional stakeholders to clarify requirements, identify risks, and ensure acceptance criteria are testable and automatable.
• Define testing strategies and approaches that align with DevOps and CI/CD practices.
• Identify testing scope, objectives, resources, timelines, and deliverables for automated and manual testing efforts.
• Design, develop, and maintain well-structured, reusable, and maintainable automated test cases and frameworks.
• Create and manage automated test scripts and test suites within Azure DevOps (ADO) or similar platforms.
• Execute and maintain automated and manual tests, including functional, regression, performance, usability, and security testing.
• Initiate and monitor automated test runs, analyze results, and validate test coverage for assigned scrum teams.
• Identify, document, prioritize, and track defects and inconsistencies, partnering closely with developers to troubleshoot issues and validate fixes.
• Develop a strong understanding of user story sizing, test planning, and test coverage within Agile and Scrum workflows.
• Maintain clear and detailed documentation of test plans, test cases, automation frameworks, and regression testing results.
• Prepare and communicate test results, regression reports, and quality metrics to technical and non-technical stakeholders.
• Actively contribute to the automation roadmap by identifying opportunities to increase automation coverage and improve testing efficiency.
• Recommend and implement process, tooling, and framework improvements to enhance the effectiveness, scalability, and reliability of the QA practice.
• Stay current with industry trends, tools, and best practices in test automation, quality engineering, and secure software development.
• Leverage generative AI tools such as Claude and Copilot to streamline workflows, enhance productivity, improve solution quality, and accelerate delivery of business outcomes.

 

Qualifications:

• 4+ years of professional software quality assurance experience, including 2+ years in test automation
• Proficiency with test automation tools and frameworks (e.g., TestComplete, Playwright)
• Solid programming skills in Java, Python, or JavaScript
• Experience working with CI/CD tools such as GitHub, GitLab, or Azure DevOps
• Solid understanding of software testing fundamentals, automated testing strategies, quality engineering principles, and test design best practices
• Proven technical foundation including SQL, database concepts, APIs, web-based applications, and networking fundamentals
• Experience building, and maintaining automated test frameworks, tools, and reusable test components
• Strong analytical and problem-solving skills
• Experience in large-scale or multi-platform environments is a plus
• Proficiency working in Agile/Scrum environments preferred
• Experience using generative AI tools such as Claude and Copilot to improve productivity and deliver high-quality outcomes
• Bachelor’s degree in Computer Science or a related field