Job description
StellarTech is an international, fast-growing product IT company that builds and publishes subscription-based mobile apps in EdTech. Our Platform team builds the company's own platform: web funnels, payments, subscriptions and integrations with third-party services. It's the core that all our products run on.
We're looking for a QA Engineer to join a team of manual QA engineers. You'll own the quality of Platform functionality in a startup rhythm with short iterations and frequent releases. QA is also where other teams (Monetization, Finance, Product Tech) come first when something looks wrong. So we need a mature specialist who finds the root cause, communicates clearly and helps improve how we work, not someone who only runs test cases.
What you'll do
Test new features end to end during development: frontend, backend, APIs and third-party integrations
Run regression testing before releases and smoke testing on production after each release
Validate business and technical requirements with Product and Engineering before development starts
Investigate defects with logs, API responses and network traffic, and write clear, reproducible bug reports
Be the first line for requests from Monetization, Finance and Product Tech: reproduce the issue, assess severity and escalate with facts
Maintain test documentation in TestRail, Jira and Confluence
Work with the Automation QA team to decide which cases to automate
Must-have
4+ years of manual QA of web applications (frontend, backend, API)
Risk-based test design: you can explain what you test, what you don't, and why
API testing with Postman / Charles and Swagger / OpenAPI
Root cause investigation with Chrome DevTools (HAR, network, storage) and logs
Hands-on with the full release cycle: feature, regression and production smoke testing
You use AI tools (Claude, Cursor or similar) in your daily QA work and critically check what they produce
Experience in a product company or startup with frequent releases
Written English good enough for documentation and bug reports
Ownership and transparent communication: you flag risks and delays early
Nice to have
Payments and subscriptions testing (Chargebee, Adapty, Payrails, trials, taxes, Apple Pay / Google Pay)
Web funnels and A/B experiments
Analytics event validation (Google Analytics, Meta Pixel, GTM dataLayer)
Datadog / Grafana
Testing AI-powered features
Basic Playwright / TypeScript
Why join us
You'll work on a platform that decides how fast a subscription business can grow
AI-first company: AI is being built into the company's work centrally, well beyond generating test cases
No micromanagement, high engineering standards, fully remote
Hiring process:
Recruiter screening → Technical interview with the Hiring Manager and a QA engineer →Final interview.
We move fast: the whole process can take about 1 to 2 weeks.
Interested or know someone who fits? Apply or send us a message.
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.