United Kingdom
Eque2
RemoteStar
QA Engineer / Product Operations Engineer (Remote)
United Kingdom
Cambourne, England, United Kingdom
JavaScriptTypeScriptReactNode.jsSQLAWS
Job Title: QA Engineer / Product Operations Engineer
Job Location : Remote
Employment Type : Full Time
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.
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:
- Signups
- Active users
- Part uploads
- Upload success/failure rates
- File types uploaded
- Printability analysis completion rate
- RFQs sent
- Supplier quote response rate
- 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.
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