Senior QA Engineer

Summary:
We are seeking an experienced Quality Assurance Engineer to join our team and ensure that our AI platform is reliable, scalable, and meets our high standards of quality. The ideal candidate will be an automation expert with a strong background in data analytics, and have experience testing SaaS platforms. The QA Engineer will be responsible for developing and executing automated tests, analyzing test results, identifying issues and defects, and collaborating with development teams to ensure that our platform meets customer needs and is deployed effectively.

Company Overview:

Infinite Analytics' AI platform, Sherlock AI, is transforming the way businesses gain consumer insights through its powerful knowledge graph. By leveraging the latest advancements in AI and machine learning, our no-code SaaS platform empowers enterprises and SMBs to analyze consumer behavior in both the physical and digital worlds.

With a knowledge graph built from 40+ third-party datasets, Sherlock AI generates valuable consumer insights along with recommendations on how to grow their business. This eliminates the need for businesses to invest time, labor, and money into building complex data and analytics systems. The easy to use platform enables business users to access and action on these powerful insights without needing a data and data science team to interpret them.

As our platform continuously learns from global customers across various industries, the insights it provides become increasingly refined over time. These insights have already been applied to optimize marketing campaigns, select store locations, and improve marketing strategies across traditional and digital channels for clients in retail, CPG, banking, and auto sectors.

Overall, Sherlock AI democratizes consumer insights, giving businesses of all sizes the tools they need to make data-driven decisions and grow their businesses.

Responsibilities:
• Develop and execute automated test scripts using tools such as Selenium or similar testing frameworks.
• Develop and maintain test cases, test plans, and test reports.
• Collaborate with product management and development teams to understand requirements and acceptance criteria.
• Work with data analysts to ensure that test data is representative of real-world scenarios.
• Analyze test results, identify defects, and collaborate with development teams to ensure timely resolution.
• Conduct root cause analysis of defects and work with development teams to identify and implement preventative measures.
• Participate in sprint planning, daily stand-ups, and retrospective meetings.
• Continuously improve the testing process, identify areas for improvement, and implement best practices.
• Work with customers to understand their testing needs and to ensure that the platform meets their requirements.
• Provide training and support to QA team members and other stakeholders as needed.

Requirements:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software quality assurance, with a strong focus on automation testing and data analytics.
• Strong experience in automation scripting with Selenium or similar testing frameworks.
• Experience in data analytics and database technologies, such as MySQL, Cassandra, Presto and Elasticsearch.
• Familiarity with CI/CD tools, such as Jenkins, Git Actions, or similar.
• Strong analytical and problem-solving skills, with an attention to detail.
• Ability to work collaboratively with cross-functional teams, including product management, development, and data analytics.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and prioritize competing tasks.
• Experience in testing SaaS platforms is a plus.
• Knowledge of AWS, Azure or similar cloud infrastructure is a plus.

Benefits:
• Competitive base salary.
• Performance-based bonus.
• Stock options.

Hiring Process

1. Fill this candidate form and submit your details
2. Submit your resume to [email protected]
3. HR team will review the resume and schedule an Intro call
4. Once we match you with a role, we will ask you to complete an assignment to test your hands on skills
5. Tech Interview
6. HR Interview
7. Reference check
8. Offer

***Salary commensurate with experience and grade/range

Start exploring career options at Infinite Analytics by completing steps #1 and #2 today!

At Infinite Analytics, we foster a dynamic learning and collaborative work environment that provides ample opportunities for growth and development for our employees. Our company culture is centered around customer success and innovation, which has helped us earn a loyal customer base across different industries.

As a QA professional, you will have the chance to work with cutting-edge technology and contribute to building and deploying the platform at scale. You will be a crucial part of the team that ensures customer satisfaction and drives account growth. You will work closely with internal teams and customers to guarantee that our product is delivered with the highest quality and meets customer needs.

We value our employees and provide them with an exciting and challenging work environment where they can thrive and grow.