Aloplay
51 - 200 employees
Founded 2021
🎲 Gambling
🤝 B2B
☁️ SaaS
Gambling • B2B • SaaS
Aloplay is a B2B iGaming technology provider offering a modular, AI-powered all-in-one platform for casino and sportsbook operators. It provides player account management (PAM), content aggregation via a single API to hundreds of game studios and thousands to hundreds of thousands of games, a prediction/event-based trading engine, CRM/loyalty/gamification tools, payments, analytics, and managed turnkey and white-label services. Built on microservices with enterprise-grade security and multi-jurisdiction compliance, Aloplay sells its platform and operations as SaaS and managed services to licensed operators looking to launch, scale, and operate online casinos and sportsbooks.
QA Automation Engineer
Job not on LinkedIn
🔥 1 minute ago
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Aloplay
51 - 200 employees
Founded 2021
🎲 Gambling
🤝 B2B
☁️ SaaS
Gambling • B2B • SaaS
Aloplay is a B2B iGaming technology provider offering a modular, AI-powered all-in-one platform for casino and sportsbook operators. It provides player account management (PAM), content aggregation via a single API to hundreds of game studios and thousands to hundreds of thousands of games, a prediction/event-based trading engine, CRM/loyalty/gamification tools, payments, analytics, and managed turnkey and white-label services. Built on microservices with enterprise-grade security and multi-jurisdiction compliance, Aloplay sells its platform and operations as SaaS and managed services to licensed operators looking to launch, scale, and operate online casinos and sportsbooks.
📋 Description
• Build API and E2E suites with AI coding agents; agents generate tests from specs, PRs and provider docs • Set up the QA MCP toolset (Playwright / browser, database, logs, Jira) so agents can run and debug tests • Develop self-healing tests where agents triage flaky failures and propose fixes • Run tests in CI/CD, with an AI test-gap review on every PR • Maintain test data and environments
🎯 Requirements
• 3+ yrs test automation • TypeScript / JS (Playwright, Jest or similar) • CI pipelines • Daily use of AI coding agents • Hands-on with MCP (Playwright MCP or similar) • Has built a custom MCP server or agent for testing • LLM evals: designs eval sets for AI features and for AI-generated tests • Knows AI risks in test tooling: prompt injection, agent access to test data and secrets • Nice to Have: Load testing (k6) • Nice to Have: Contract testing
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