Description
QA Engineer
London - Hybrid / Europe - Remote
About Snowplow
Snowplow, the global leader in customer data infrastructure (CDI) for AI, enables every organization to own and unlock the value of its customer behavioral data.
The Snowplow CDI fuels AI-driven marketing, digital products and services, customer experiences and fraud detection, by enabling companies like Burberry, Strava, and AutoTrader to collect and manage real-time, structured and unstructured behavorial data governed in their cloud data platform.
With thousands of companies relying on Snowplow worldwide to generate AI-ready data to uncover deeper customer journey insights, predict customer behaviors, optimize differentiated customer experiences, and detect fraud; we are at the forefront of transforming how data-driven organizations leverage their customer behavioral data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.
The Opportunity
As a QA Engineer at Snowplow Analytics, you will play a crucial role in ensuring the quality and reliability of our software products. You will work closely with our development and product teams to design, develop, and execute test plans and test cases. Your efforts will help us maintain the highest standards of quality and performance in our products.
What you’ll be doing:
● Develop and execute comprehensive test plans and test cases for Snowplow Analytics products
● Identify, document, and track defects and issues using bug tracking tools
● Work closely with developers to understand product requirements and provide timely feedback on quality issues
● Perform functional, regression, integration, and performance testing
● Automate test cases and contribute to the continuous improvement of our automated testing frameworks
● Participate in code reviews and provide feedback to ensure testability and quality
● Collaborate with cross-functional teams to ensure smooth product releases
● Monitor and analyze test results, and provide detailed reports on test coverage, defects, and overall product quality
We’d love to hear from you if you have:
● A Bachelor's degree in Computer Science, Engineering, or a related field
● Proven experience as a QA Engineer or similar role
● Strong knowledge of software QA methodologies, tools, and processes
● Experience with automated testing tools and frameworks (e.g., Selenium, JUnit, TestNG)
● Proficiency in at least one programming language (e.g., Java, Python, JavaScript)
● Experience with continuous integration and continuous deployment (CI/CD) practices. (e.g. GitHub Actions)
● Familiarity with cloud-based services and environments (e.g., AWS, GCP, Azure)
● Excellent problem-solving skills and attention to detail
● Strong communication and collaboration skills
● The ability to work independently and as part of a team
You may also have:
● Experience with data analytics platforms and tools
● Knowledge of Snowplow Analytics products and services
● An understanding of event-driven architectures and data processing pipelines
● Experience with performance testing and load testing tools (e.g., JMeter, Gatling)
● Experience with Terraform for infrastructure as code● Familiarity in Go (Golang) programming language
What we offer you in return:
💰 A competitive package, including share options
🧘 Flexible working
🏖️ A generous holiday allowance no matter where you are in the world
🫂 Mental health support
💻 MacBook and home office equipment allowance
🫶 1 week of volunteering a year for a cause you feel passionate about
Snowplow Analytics
Analytics
Artificial Intelligence
Business Intelligence
Data Integration
Software
0 applies
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