Software Quality Assurance Engineer I

What we do:

Zefr is the global leader in brand suitability targeting and measurement across the world's largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alliance of Responsible Media's (GARM) industry standards. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms. The company is headquartered in Los Angeles, California, with additional locations across the globe.

What you’ll do:

You'll work closely with cross-functional teams to understand requirements, design solutions, and ensure the quality of our software. This position offers a unique opportunity to build your expertise in SQL, Python, and testing methodologies while contributing to meaningful projects. Our products are used by and integrated with major platforms like Meta, TikTok, and YouTube. You’ll be working with cloud services (AWS and GCP), CI/CD pipelines through GitHub Actions, and data in various warehouses (Snowflake, PostGres) in a micro services architecture.

• Collaborate with other engineers and product managers as part of a high performing scrum team
• Develop and maintain automation testing tools by writing clean, efficient, and well-documented code using Python and Typescript
• Write automated tests using best practices in data quality, APIs, UI, integration, smoke, and regression testing
• Write SQL queries to ensure high levels of quality in our data
• Write and review technical documentation
• Log well written software issues that can easily be reproduced
• Troubleshoot system issues and provide continuous improvement to prevent future issues
• Provide suggestions on how to improve quality across our products and our organization
• Stay up-to-date with the latest technologies and best practices in software development, databases, and testing
• Become a subject matter expert
  
  

What we’re looking for:

Looking for a highly motivated software engineer who loves working with data as much as writing efficient code. This role is perfect for someone who is interested in AI and machine learning and loves to learn and dig deep. This is a great entry level role with plenty of opportunity to grow.

• Degree in Computer Science, related field, or equivalent experience
• 0-2 years of industry experience
• Excellent verbal and written communication skills
• Excellent problem-solving skills and attention to detail
• A fast learner who enjoys learning new skills and technologies
• Experience with SQL
• Excellent programming skills (Python and Typescript preferred)
• Ability to work well on your own and as part of a team
  
  

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

Benefits (for US Based Employees)

• Flexible PTO
• Medical, dental, and vision insurance with FSA options
• Company-paid life insurance
• Paid parental leave
• 401(k) with company match
• Professional development opportunities
• 10 paid holidays off
• In-office (2-3x per week)
• In-office lunches and lots of free food
• Optional in-person and virtual events (we like to celebrate!)
  
  

Compensation (for US Based Employees)

The anticipated base salary for this position is between $65,000 and $80,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.