QA Engineer / Product Operations Engineer
New
J
JobgetherAdditive manufacturing marketplace
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–5 years of professional experience in quality assurance, software testing, technical support engineering, product operations, analytics, software development, or a related field.
- Required Skills
- Node.jsSQLJavascriptTypeScriptProduct AnalyticsRegression testingReactRESTful APIsQuality Assurance
Requirements
- Have 2–5 years of professional experience in quality assurance, software testing, technical support engineering, product operations, analytics, software development, or a related field.
- Have strong experience testing web applications, validating user workflows, identifying edge cases, and documenting reproducible defects.
- Bring basic full-stack development skills, ideally involving TypeScript, JavaScript, React, Node.js, SQL, and REST APIs.
- Be able to read and understand application code, debug technical issues, and implement small code fixes independently.
- Be familiar with browser developer tools, application logs, network requests, API debugging, and database investigation.
- Have experience with product analytics and reporting tools such as Google Analytics, PostHog, Mixpanel, Metabase, Looker Studio, Supabase, or SQL-based dashboards.
- Understand software testing practices, regression testing, defect tracking, and release validation.
- Be able to investigate issues systematically, recommend practical solutions, prioritize competing tasks, and escalate technical issues promptly.
- Produce clear bug reports, technical documentation, and product quality summaries.
- Be willing to learn additive manufacturing and 3D printing technologies; prior professional experience in the domain is not mandatory.
Responsibilities
- Test customer-facing and supplier-facing applications across registration, authentication, uploads, printability analysis, supplier matching, RFQs, quotes, and order management.
- Create and execute QA checklists, test cases, regression plans, and validation procedures across browsers, devices, file formats, and edge cases.
- Monitor production applications, identify workflow failures and errors, investigate incidents, and collaborate with engineers on root-cause analysis.
- Review customer-uploaded CAD files, drawings, PDFs, and part metadata for additive manufacturing suitability and printability risks.
- Compare automated printability analysis with human evaluations and recommend workflow improvements.
- Analyze user behavior, customer feedback, support tickets, and usage trends to identify onboarding challenges and recurring issues.
- Build and maintain dashboards tracking product usage, customer activity, conversion funnels, and system errors.
- Investigate defects across frontend applications, backend services, APIs, databases, and third-party integrations, and implement small code fixes where appropriate.
- Improve error handling, logging, input validation, internal tools, scripts, and test automation.
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