Software Test Engineer

Job Description:

• Create, maintain, and execute structured manual test plans, detailed test cases, and realistic test datasets based on functional specifications.
• Use internal and platform tools to validate conversational pathways, verifying system outcomes, triggers, and user journeys against acceptance criteria.
• Incorporate modern AI concepts and productivity tools into manual testing workflows to generate test scenarios, edge cases, and synthetic data.
• Execute end-to-end functional, regression, smoke, and exploratory testing across regular SaaS release cycles.
• Identify, reproduce, document, and track defects to resolution using Jira, collaborating with developers and product teams.
• Maintain test cases and traceability matrices in Zephyr for release transparency.
• Uphold robust testing standards and comply with enterprise data privacy and security practices.

Requirements:

• 3+ years of dedicated, hands-on experience in manual software testing within SaaS, web, or enterprise applications.
• Foundational familiarity with AI concepts (e.g., prompt crafting, NLP basics) or practical exposure to using AI tools to assist in manual test design and edge-case ideation; conversational AI experience is a plus, not a requirement.
• Proven proficiency working with Jira and Zephyr for test planning and defect tracking.
• General understanding or foundational exposure to test automation concepts and workflows.
• Sharp attention to detail with an investigative eye for edge cases, functional anomalies, and UX inconsistencies.
• Strong verbal and written communication skills to articulate defects clearly and collaborate effectively across Agile squads.
• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
• Minimum of 3+ years of proven experience in manual software quality assurance.

Benefits:

• 100% Full-Time Remote: Enjoy complete location flexibility while working with a high-caliber, distributed technical team.
• True Work-Life Balance: Sustainable delivery cadences, sensible sprint planning, and respect for your personal time.
• Cutting-Edge SaaS Exposure: Work directly on enterprise-grade software interacting with millions of real-world customer journeys.
• Modern QA Practices: Leverage modern AI tools and concepts to augment and elevate your manual testing toolkit.