Senior Software Quality Assurance Engineer

Key Skills

Analytical and Problem solving, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP)

Job Description

Your Role

Moonhub is looking for a Senior Software Quality Assurance Engineer to join our fast-paced AI startup disrupting the talent search industry using state-of-the-art technologies and LLMs.

We are seeking a world-class professional with a deep understanding of software quality assurance, testing methodologies, and a passion for ensuring the excellence of our products. As a key member of our engineering team, you will play a crucial role in guaranteeing the quality and reliability of our software.

Moonhub is a hybrid company, and we have quarterly off-sites together, along with local meetups.

What You’ll Do

• Design and build testing layers (unit, integration, E2E) and corresponding frameworks to enable development velocity
• Collaborate with other software engineers to develop and execute comprehensive test plans
• Work closely with internal stakeholders to understand product requirements and design test strategies.
• Perform manual and automated testing to identify defects, issues, and areas for improvement.
• Create and maintain automated test scripts for regression and performance testing.
• Work closely with cross-functional teams to address software defects and ensure high-quality releases.
• Stay up-to-date with the latest testing techniques, tools, and industry best practices.

Skills & Qualifications

• Strong knowledge of software testing principles, methodologies, and best practices.
• 4+ years of experience in software quality assurance, with at least 2 years focused on testing large-scale software systems.
• Familiarity with test automation tools and frameworks.
• Experience with test management and defect tracking systems.
• Excellent problem-solving skills and attention to detail.
• Ability to adapt to changing project requirements and dynamic customer needs.
• Effective communication skills and the ability to work collaboratively in a team.

Bonus Points

• Experience with Postgres, QA for ML-backend software systems, or similar backend technologies.
• Knowledge of machine learning (ML) and natural language processing (NLP) concepts, even if through side projects or courses.

US Applicants

• The minimum and maximum salary for this position is $120,000 to $160,000 in the US;
• This position is eligible for significant equity
• This role is eligible for benefits including 100% covered premium health + dental insurance, company offsite trips, work-from-home stipend, 401k, and more.