Quality Engineer

We're looking for a Quality Engineer to join our Quality Engineering team and play a key role in delivering high-quality software. You'll bring your testing expertise to design thoughtful test strategies, drive issues to resolution, and help shape QE best practices - partnering closely with developers and product managers to validate features and lead regression efforts.

Responsibilities

Design and execute test plans across Web, API, and/or Data components, proactively identifying coverage gaps; Perform functional, regression, and integration testing; Identify, document, and track defects in Jira with clear reproduction steps, root-cause context, and impact analysis; Create and maintain test data and environments needed for execution; Troubleshoot and investigate issues independently - reproducing defects, gathering logs, and validating fixes; Build and maintain test scripts and automation, contributing to frameworks and team standards; Communicate testing progress, risks, and issues clearly to both technical and non-technical stakeholders; Own assigned testing areas and drive tasks to completion with minimal oversight; Collaborate cross-functionally to resolve ambiguity and unblock issues; Mentor junior QE team members as needed; Apply and help refine QE standards and processes (test case structure, defect reporting, regression workflows); Contribute to SDLC quality practices and participate in Agile/Scrum ceremonies (sprint planning, backlog refinement, retros); Use AI tools (e.g., GitHub Copilot) to write and improve test automation scripts and snippets; Leverage AI tools to generate and refine test case ideas from requirements or user stories; Use AI-enhanced search across bug tracking and documentation systems to speed up investigation and reduce duplicate work

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience; 3–5 years of relevant experience in software testing, quality assurance, or a related technical role; Solid understanding of SDLC and testing methodologies (functional, regression, integration testing); Working knowledge of testing concepts and terminology (test cases, test data, defects, severity/priority); Hands-on experience with bug tracking systems (e.g., Jira); Strong verbal and written communication skills, including with non-technical stakeholders; Demonstrated ability to work independently, prioritize tasks, and take ownership of deliverables; Comfort using GenAI tools (e.g., GitHub Copilot, Gemini, AI test generators) to support scripting, test design, and information discovery

Nice to have

Practical experience with scripting/programming languages (e.g., Python, JavaScript, TypeScript, Java) for test automation; Experience working in Agile environments (Scrum or Kanban); Experience with test management tools (e.g., Xray, TestRail); Track record of using AI-powered tools professionally to improve testing efficiency or coverage

Benefits

Competitive remuneration; Remote work; Sports/leisure benefit; 20 sick leave days paid at 100%; 32 calendar days of vacation; Team events, online, at the office, or outside; Professional development plan with guidance and mentorship; Training and development opportunities with an allocated budget; Professional Certifications; Optional medical insurance