QA Engineer
QA Engineer
Creador- Posted 37 minutes ago
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Job Description
Key Responsibilities
- Design, maintain and run test plans, test cases and regression suites.
- Perform exploratory and end-to-end testing from a real user's point of view.
- Verify releases before rollout, including macOS and Windows install checks and testing of stable and prerelease channels.
- Test agent behaviour for accuracy, consistency and safety, including correct handling of tenant boundaries, permissions and sensitive information.
- Write clear, reproducible bug reports with steps, evidence, severity and customer impact, and track each to resolution and re-test.
- Work with engineers to prioritise defects, and flag release risks early.
- Contribute to test automation and tooling where it makes testing faster and more reliable, working with engineers on what to automate.
- Use AI tools to help draft test cases, analyse logs and speed up triage, while reviewing the output critically.
- Test the same agents and workflows across Slack, Microsoft Teams, WhatsApp, Telegram, Claude and ChatGPT, and confirm they behave consistently on each.
- Reproduce issues reported by customers or the team, gather evidence and hand engineers the full context.
- Maintain test documentation and a known-issues list, and report regularly on quality and release readiness.
- Around three or more years of experience in QA, software testing or a similar technical role, or equivalent hands-on experience.
- Experience testing software products end to end, including writing test cases and bug reports that engineers can act on.
- Strong written and verbal communication, with the ability to explain technical issues clearly to non-technical colleagues and customers, and to report problems precisely to engineers.
- A systematic approach to investigation: reproduce the issue, gather evidence, isolate the cause and verify the fix.
- Comfort with ticketing, issue-tracking and collaboration tools, and the discipline to keep every issue visible until it is resolved.
- Comfort working with AI tools in day-to-day work.
- Willingness to travel and work on-site with customers when required.
- Experience with SaaS, AI products, chatbots or messaging-platform integrations.
- Experience with test automation or basic scripting, or with API testing tools.
- Familiarity with macOS and Windows environments, including installation and troubleshooting on managed devices.
- Experience supporting enterprise or private-equity-backed portfolio customers, or working inside client IT environments.
- Awareness of data-privacy and security expectations when handling customer information.
- Take clear ownership of quality issues, and see each one through to resolution.
- Be curious and thorough, with an instinct for spotting what others might miss.
- Stay calm and communicate clearly when releases are at risk or systems are down.
- Represent the user's point of view in internal discussions, backed by evidence rather than opinion.
- Be organised enough to manage many open issues and test cycles at once, keeping priorities and status visible.
- Be comfortable asking questions, raising risks early and giving direct, constructive feedback.
- Bring a practical, improvement-minded approach to documentation, process and tools.
More Info
Key Skills
regression suites
AI tools
API testing tools
Windows


