Job Title: QA Engineer / Product Operations Engineer
Job Location : Remote
Employment Type : Full Time
About the Client:
Our client is building a marketplace and AI platform for additive manufacturing. They help companies convert legacy, custom, and hard-to-source parts into 3D-printable parts, then match those parts with the right suppliers, materials, and manufacturing processes. They are looking for a strong CAD Engineer in India who can help create, modify, reverse-engineer, and prepare parts for 3D printing.
Responsibilities:
Product QA & Testing
- Test customer and supplier web applications across core workflows.
- Validate user signup, login, part upload, file processing, printability analysis, supplier matching, RFQ creation, quote submission, and order flows.
- Create and maintain QA checklists, test cases, and regression test plans.
- Test across browsers, devices, file types, and edge cases.
- Identify bugs, reproduce them clearly, and document expected vs. actual behavior.
- Verify bug fixes before release.
- Help maintain release quality as new features ship quickly.
App Monitoring & Reliability
- Monitor production applications to make sure core workflows are online and functioning.
- Watch for failed uploads, broken pages, API errors, background job failures, and unusual customer behavior.
- Escalate critical issues quickly and help triage root causes.
- Help maintain uptime and customer trust by catching issues before customers do.
- Create simple internal dashboards or alerts for product health.
3D Printability Review
- Review customer-uploaded files including CAD, PDFs, drawings, and part metadata.
- Help assess whether parts appear suitable for 3D printing based on geometry, material, size, tolerance, and process constraints.
- Flag common printability issues such as thin walls, unsupported features, overhangs, small holes, tolerance risks, warping risk, poor file quality, or missing information.
- Work with engineering and domain experts to improve printability scoring and analysis workflows.
- Help build internal printability review checklists and part-classification processes.
- Compare automated printability outputs against human judgment and identify gaps.
Customer Behavior & Product Insights
- Analyze how customers are using the platform.
- Identify where users get stuck, abandon workflows, upload bad files, or fail to complete RFQs.
- Review support issues, customer feedback, uploaded part data, and usage patterns.
- Translate product usage observations into clear bug reports or product improvement suggestions.
- Help the team understand what customers are actually trying to do, not just what the software says they did.
Analytics & Reporting
- Create dashboards for product usage, customer activity, part uploads, RFQs, supplier responses, conversion funnels, and system errors.
- Track key metrics such as:
1. Signups
2. Active users
3. Part uploads
4. Upload success/failure rates
5. File types uploaded
6. Printability analysis completion rate
7. RFQs sent
8. Supplier quote response rate
9. Customer drop-off points
- Use tools such as Google Analytics, PostHog, Mixpanel, Metabase, Supabase, SQL, or similar platforms.
- Create weekly product quality and usage reports for the team.
Bug Fixing & Light Engineering
- Investigate bugs in the frontend, backend, APIs, database, or integrations.
- Make small code fixes independently where possible.
- Work with engineers on larger issues and provide clear reproduction steps.
- Help improve error handling, logging, validation, and user-facing messages.
- Review code changes from a QA and product reliability perspective.
- Contribute to internal tools, scripts, dashboards, or automation.
Required Skills:
- 2–5 years of experience in QA, technical support engineering, product operations, analytics, or software engineering.
- Strong ability to test web applications and document bugs clearly.
- Basic full-stack development ability, ideally with TypeScript, JavaScript, React, Node.js, SQL, and REST APIs.
- Ability to read code, debug issues, and make small fixes.
- Experience with browser dev tools, logs, network requests, APIs, and databases.
- Familiarity with analytics tools such as Google Analytics, PostHog, Mixpanel, Metabase, Looker Studio, Supabase, or SQL dashboards.
- Strong attention to detail and ability to catch edge cases.
- Comfortable working in a fast-moving startup environment.
- Strong written communication skills.
- Ability to work independently and escalate issues clearly.
3D / Manufacturing Skills
Prior 3D printing experience is not mandatory, but the candidate should be excited to
learn additive manufacturing quickly.
Helpful skills include:
- Familiarity with CAD files such as STEP, STL, 3MF, IGES, DXF, DWG, and PDFs.
- Basic understanding of 3D printing processes such as FDM, SLS, MJF, SLA, and metal additive manufacturing.
- Ability to understand mechanical parts, drawings, dimensions, tolerances, and materials.
- Experience with slicers, CAD viewers, mesh repair tools, or 3D printing workflows.
- Interest in manufacturing, automotive, aerospace, industrial parts, or physical products.
Nice to Have:
- Experience with Playwright, Cypress, Selenium, Jest, or automated testing.
- Experience setting up monitoring, alerts, or error tracking using tools like Sentry, Datadog, LogRocket, New Relic, or similar.
- Experience with cloud platforms such as AWS, Azure, Render, Vercel, or Supabase.
- Experience with GitHub, pull requests, CI/CD, and deployment workflows.
- Experience with CAD, 3D printing, mechanical engineering, or manufacturing software.
- Experience building dashboards or writing SQL queries.
- Experience in a startup where responsibilities were broad and fast-moving.
Example Projects:
- Test whether a customer can upload a STEP file, get a printability analysis, and send an RFQ to suppliers.
- Identify why uploaded PDFs are failing to process and file a clear bug report with logs and reproduction steps.
- Create a dashboard showing daily part uploads, failed uploads, and RFQs sent.
- Review 20 uploaded parts and classify which ones look printable vs. risky.
- Find where customers are dropping off during onboarding.
- Fix a frontend validation bug that prevents suppliers from submitting quotes.
- Add better error messages when a CAD file cannot be processed.
- Create a weekly report showing product health and user behavior.
