We're looking for a sharp and proactive Software QA Engineer to join our fast-paced, startup. You'll work closely with the Senior QA Engineer and the entire development team to ensure the quality and reliability of our software products. This role is perfect for a self-starter who thrives on ambiguity, enjoys getting their hands dirty, and wants to make a significant impact in a collaborative, agile setting.

Responsibilities:

• Work closely with the development team to understand requirements, provide early feedback on potential issues.
• Execute a variety of testing types, including functional, regression, and performance testing.
• Perform exploratory and ad-hoc testing to identify issues and edge cases.
• Work in both Windows and Linux environments, utilizing the command line and Bash scripting for testing and automation tasks.
• Document, track, and manage software defects from discovery to resolution.
• Adapt quickly to new technologies and tools as needed in our dynamic startup environment.

Qualifications:

• Experience: 2-5 years of experience in a Quality Assurance or Test Engineering role.

• Technical Skills:
• Proficiency with the command line interface (CLI) and Bash scripting.
• Experience testing both desktop (Windows and Linux) and web applications.
• Hands-on experience with various testing methodologies.

• Soft Skills:
• Agile Mindset: Comfortable working in a fast-paced, iterative, and collaborative agile environment.
• Adaptability: Ability to thrive in a startup setting and handle ambiguous situations with a can-do attitude.
• Attention to Detail: Meticulous and thorough in your work, with a keen eye for subtle discrepancies.
• Critical and Creative Thinking: Strong problem-solving skills, capable of thinking outside the box to uncover potential issues.
• Quick Learner: Ability to quickly understand complex systems, new technologies, and business logic.
• Comfort with AI: Eagerness to co-create with AI to improve your work and enhance your productivity.

Bonus Qualifications (Nice to Have):

• A foundational understanding of how GPU and CPU are used for different computer processes.
• Knowledge of networking concepts, particularly TCP/IP.
• Experience with test automation tools or frameworks.