[Hiring] QA Manual Engineer @Azumo

Role Description

We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. QA engineer responsibilities include:

• Designing and implementing tests
• Debugging and defining corrective actions
• Reviewing system requirements
• Tracking quality assurance metrics (e.g. defect densities and open defect counts)
• Conducting tests before product launches to ensure software runs smoothly and meets client needs
• Monitoring all stages of software development to identify and resolve system malfunctions to meet quality standards

Qualifications

• Proven work experience in software development
• Proven work experience in software quality assurance
• Strong knowledge of software QA methodologies, tools, and processes
• Experience in writing clear, concise, and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Experience working in an Agile/Scrum development process
• Experience with performance and/or security testing is a plus
• BS/MS degree in Computer Science, Engineering, or a related subject

Requirements

• Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive, and well-structured test plans and test cases
• Estimate, prioritize, plan, and coordinate testing activities
• Identify, record, document thoroughly, and track bugs
• Develop and apply testing processes for new and existing products to meet client needs
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Track quality assurance metrics, like defect densities and open defect counts

Benefits

• Paid time off
• U.S. Holidays
• Training
• Udemy free Premium access
• Mentored career development
• $US Remuneration
• Profit Sharing

Company Description

Azumo is a San Francisco based software development company that has been building intelligent applications since 2016. We provide nearshore AI engineering teams to organizations that need production AI faster than they can hire for it:

• As an embedded engineering team
• As AI staff augmentation alongside an existing team
• As a full project build

Our engineers work from Latin America, aligned to United States time zones, and have delivered for Twitter, Meta, Discovery Channel, Omnicom, UnitedHealth, and CENTEGIX.

We hire for seniority and test for it before anyone joins a client team. We support engineers in going deep on the modern AI stack, and we give time back to open-source work, community teaching, and philanthropy.

The QA Engineer will be based remotely. Compensation commensurate with experience and candidate potential.