Senior QA Engineer (m/f/d)

Boardwise

4d•Remote

About The Position

The Senior QA Engineer will help ensure the quality and reliability of Boardwise’s product by analysing requirements and user stories, designing and maintaining test documentation, and performing a broad range of testing across web, mobile, API, and Microsoft 365 integrations. The role includes testing complex role- and permission-based scenarios, workflow-heavy functionality, configuration, and data import and export; reporting reproducible defects; supporting their resolution; and contributing to release readiness and post-release verification. The engineer will also use AI tools to support test analysis, test design, debugging, and investigation. This role has direct impact on product quality and offers the opportunity to shape QA standards, processes, and testing strategies in close collaboration with Product and Engineering. Boardwise describes its environment as modern, remote-first, international, and flexible, with meaningful testing challenges, regular team offsites, and opportunities for professional development.

Requirements

At least 5 years of professional experience in Software QA.
Strong understanding of SDLC, STLC, Agile/Scrum, and shift-left testing practices.
Solid knowledge of functional, regression, smoke, integration, end-to-end, exploratory, UAT, compatibility, usability, and localization testing.
Experience with test design techniques including boundary value analysis, equivalence partitioning, decision tables, state transitions, pairwise testing, and scenario-based testing.
Experience working with tools such as Jira or Azure DevOps.
Strong experience testing complex permission models and RBAC scenarios.
Experience with workflow-heavy products, such as approval processes, deadlines, or publishing rules.
Strong root-cause analysis skills using browser DevTools, network requests, console logs, local storage, and REST and GraphQL payloads.
Hands-on experience testing applications integrated with Microsoft 365, such as SharePoint, Teams, Outlook, or Entra ID.
Proven experience testing mobile applications on iOS and Android.
Understanding of mobile-specific risks such as device and OS fragmentation, permissions, network connectivity, push notifications, deep links, and app updates.
Experience working with TestFlight, Android test builds, and device logs.
Hands-on experience testing GraphQL APIs, including queries, mutations, variables, fragments, and schema introspection.
Good understanding of HTTP, JSON, authentication, authorisation, validation, error handling, and status codes.
Ability to validate data consistency between API and UI.
Practical experience using AI assistants such as ChatGPT, Claude, or GitHub Copilot in QA workflows.
Experience using AI for requirements analysis, test case generation, log investigation, payload analysis, or test automation support.
Good understanding of AI limitations and responsible handling of sensitive data.
English proficiency at B2 level or higher.

Nice To Haves

Experience with test automation using C#/.NET, Playwright, or xUnit.
Knowledge of access-control security testing, including OWASP Top 10, IDOR, and privilege escalation.
Experience in Enterprise B2B SaaS or governance/compliance software.
ISTQB certification.

Responsibilities

Analyse requirements and user stories to identify gaps, edge cases, and risks early in development.
Design and maintain test plans, test cases, checklists, and requirement traceability documentation.
Perform functional, regression, integration, exploratory, end-to-end, and acceptance testing.
Test complex role- and permission-based scenarios, including multiple user roles, restricted access, and cross-board visibility.
Verify end-to-end integrations with Microsoft 365.
Test iOS and Android applications across devices and operating systems.
Validate configuration settings and data import and export functionality.
Report clear, reproducible defects and actively support their resolution.
Participate in release readiness, smoke testing, and post-release verification.
Use AI tools to improve test analysis, test design, debugging, and investigation.