QA Engineer

Home NU0103 QA Engineer 3-6 Full-Time About NuPlay AI At NuPlay AI, we envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities. From suggesting next purchases to boosting revenue while maintaining customer satisfaction, to analyzing vast datasets for actionable insights, our technologies shape your business and product strategies. By resolving queries with precision and delivering highly personalized interactions, we redefine the customer experience and drive measurable impact. NuPlay.ai is at the forefront of AI innovation, developing self learning AI systems. Backed by $27.5M in seed funding, we are building next-gen AI-driven applications that redefine human-machine collaboration. Role Overview We're hiring someone to own the quality charter for the NuPlay platform: define what "ready to ship" means, build the automation and tooling that makes it enforceable, and raise the bar for how the whole engineering org thinks about quality. This is a hands-on IC role with real ownership, not a ticket-verification role. You will be the direct owner of platform quality.

What you'll own The quality charter. Define and evolve the testing strategy across the NuPlay platform — web application, dashboards, APIs, webhooks, and customer integrations. Establish release criteria, coverage expectations, and quality gates that engineers actually respect because they're fast and they catch real bugs. Automation at scale. Build and maintain end-to-end and API automation suites that run on every PR and give a trustworthy signal. Own the flake rate. Design for parallel execution, deterministic test data, and fast feedback — a suite nobody trusts is worse than no suite. Performance and reliability. Design and run load, stress, and soak tests against APIs and the platform. Profile results, isolate bottlenecks with the engineers who own the service, and set up the monitoring that tells us about degradation before a customer does. Leverage through tooling, including AI. Use whatever gets coverage up and cycle time down: LLM-assisted test case generation from specs, AI-assisted authoring and maintenance of automation, synthetic test data generation, log and failure triage. We expect you to be opinionated about where these tools genuinely help and where they produce impressive-looking noise. Raising the bar. Partner with product and engineering from spec through release so quality risk is surfaced during design, not after code freeze. Mentor the QA team and build the practices — bug triage discipline, root cause analysis, prevention over detection — that outlast any single release.