At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix.
Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing.
Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task.
Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default.
Shape the testing standards, don't just follow them.
Why You'll Love This Role
You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
Excellent debugging, problem-solving, and performance optimization skills
Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
Team player with the ability to get things done in a non-hierarchical flat organization
Excellent prioritization, estimation, and scheduling skills
Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
Experience with Docker, Kubernetes, or containerized test environments
Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
Experience with test management tools (TestRail, Zephyr, or similar)
Familiarity with cloud technologies like AWS, Azure, or Google Cloud
Experience with backend/API automation beyond UI flows
GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You…
Prefer ownership over hand-holding and clarity over bureaucracy
Think speed and quality can (and should) co-exist
Ask "why" before "how," and make decisions with context, not just checklists
Love clean code, good architecture, and continuous improvement
Embrace feedback, stay curious, and enjoy sharing knowledge
Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
Private life and health insurance plan
Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
Your personal annual training budget
An annual home office allowance to set up your personal space
Company laptop
23 days of paid time off
3 early summer Fridays in July and August
Access to AI tools at work
A free LearnWorlds School to build and sell your own courses
Company retreats & other onsite team activities (see the video of our latest retreat).
LearnWorlds is a profitable, product-led SaaS platform that enables creators, educators, training businesses, and organizations to create, sell, deliver, and scale online learning experiences. Operating in more than 150 countries, the company serves thousands of customers worldwide through both a product-led growth model and sales-assisted motion for enterprise clients. The platform is expanding its AI capabilities and B2B opportunities while evolving its go-to-market strategy to serve larger organizations more effectively.
