Quality Assurance Engineer
Summary
QA engineer testing Beacon Funding's equipment-lending systems — internal origination, underwriting, servicing, and portfolio tools plus customer- and dealer-facing portals. Combines manual and automated testing on an Agile Scrum team and applies AI-assisted testing (test generation, self-healing scripts, defect analysis).
- Perform manual and automated testing on existing and new applications, including internal origination, underwriting, and servicing systems as well as customer- and dealer-facing portals.
- Design, execute, and maintain test cases and automated test scripts to validate functionality across legacy and current platforms.
- Analyze test data and results to identify defects, isolate root cause, and document technical issues clearly for engineering teams.
- Collaborate with developers, product owners, and business stakeholders to reproduce issues, clarify requirements, and validate fixes.
- Participate as an active member of an Agile Scrum team — sprint planning, backlog refinement, story review, and retrospectives — to build quality into the development process from the start.
- Develop and extend automated test coverage using a test automation framework.
- Evaluate and apply AI-assisted testing techniques — including AI-generated test cases from requirements/user stories, self-healing test scripts, and intelligent test selection/prioritization — to expand automation coverage and cut maintenance overhead.
- Use AI-based tools to accelerate analysis of test results, logs, and failure patterns, surfacing likely root cause faster than manual triage alone.
- Track and manage defects through the team's bug-tracking system, providing clear reproduction steps, severity, and impact assessments.
- Support regression testing across releases affecting both internal tools and customer/dealer-facing applications.
- Identify bottlenecks in the QA process and swim lane, and recommend process, workflow, or tooling improvements to reduce backlog risk and manual dependency.
- Bachelor's degree in computer science, quality assurance, or engineering emphasis or equivalent preferred
- 4–6 years of experience in software quality assurance, combining manual and automated testing.
- Experience testing web applications; comfort working across both legacy and modern platforms.
- Working knowledge of a test automation framework and scripting for automated tests.
- Strong aptitude and eagerness to adopt AI-assisted testing tools and techniques (e.g., AI-generated test cases, self-healing automation scripts, AI-driven test prioritization or log/anomaly analysis). This is an emerging space — a builder mindset and willingness to experiment matter more here than prior hands-on tenure with AI-specific tooling.
- Experience with a bug-tracking or test-management tool.
- Basic SQL skills for data validation.
- Experience working within Agile Scrum teams.
- Strong analytical and problem-solving skills, with the ability to isolate root cause across multi-system workflows.
- Clear written and verbal communication skills for documenting defects and collaborating with a distributed team.
- Experience testing applications in financial services, lending, or equipment leasing is preferred.
- Exposure to API testing is preferred.
- Experience testing customer- or dealer-facing web portals is preferred.
- Group Mediclaim Policy
- Parental Insurance Coverage
- Accident Policy
- Retirement Benefits (Provident Fund)
- Gratuity
- Overtime Bonus, Paid Vacation & Holidays, Profit Sharing & Incentives
Skills
As published by greenhouse · 9 questions · 1 written answer
Basics
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Short answers (2)
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- What is your desired compensation?
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- When would you be available to start?
- Have you had more than 1 job in the last three years?
- Are you willing to work second or night shift?
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Written answers (1)
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