QA Engineer – AI Native

🔥 1 minute ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Storyteller

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

☁️ SaaS

📱 Media

🤝 B2B

SaaS • Media • B2B

Storyteller is a developer-focused platform that provides embeddable SDKs, APIs and a CMS to add Stories and TikTok-style vertical video feeds to mobile apps and websites. It offers purpose-built native SDKs for iOS, Android, React Native and Web, plus content management, analytics, native ad support and enterprise features (SSO, SLAs, integrations) so companies can accelerate delivery of immersive short-form content and boost user engagement and revenue.

📋 Description

• Use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work. • Use product, technical, integration and release risk to identify the highest-value quality improvements. • Design, build and maintain useful unit and component tests for SDK behaviour. • Design, build and maintain integration tests covering SDK interaction with Storyteller services and APIs. • Put automated tests into active CI and release workflows, with failures that are clear and actionable. • Prove that tests detect meaningful breakage rather than merely producing passing output. • Investigate bugs using code, logs, APIs, test results and product behaviour. • Where appropriate, follow a well-understood issue through to a bounded production fix. • Work with builders to improve testability and prevent repeated classes of defects. • Turn repeated investigation or testing work into reusable AI workflows, tools, checks or test assets. • Communicate clearly in Slack and other team systems: state the evidence, impact, current understanding, owner and next action. • Contribute useful AI-assisted engineering practices to the wider SDK team while remaining primarily accountable for quality outcomes.

🎯 Requirements

• AI-native execution – You use AI to do substantive technical work, not only to write or summarise. • Quality and validation judgment – You can decide what is worth testing, recognise superficial tests and demonstrate that an automated test provides real protection. • Agency and ownership – You can take an ambiguous quality risk, investigate it, gather evidence, choose a sensible next step and move the work towards a useful outcome. • Technical comfort – You are comfortable working with repositories, code, APIs, CI, logs, command-line tools and automated test frameworks. • Problem solving and systems thinking – You distinguish symptoms from root causes. • Clear communication – You communicate concisely and directly. • Learning velocity – You are curious and can become effective in unfamiliar products, codebases and tools quickly.