Remote QA Engineer Opportunity in Europe | Snowplow Analytics

Posted on: August 22, 2024

Company: Snowplow Analytics

Location: Remote (Europe)

About Snowplow

Snowplow, a global leader in customer data infrastructure (CDI) for AI, empowers organizations to harness and unlock the value of customer behavioral data. Our CDI platform supports AI-driven marketing, digital products and services, enhanced customer experiences, and robust fraud detection. Companies like Burberry, Strava, and AutoTrader rely on Snowplow to collect, manage, and govern real-time, structured, and unstructured behavioral data within their cloud data platforms.

With thousands of companies worldwide using Snowplow to generate AI-ready data, we enable our clients to gain profound insights into customer journeys, predict behaviors, optimize customer experiences, and detect fraud.

After raising $40 million in Series B funding led by NEA, we are seeking innovative and creative individuals to join us in shaping Snowplow's future.

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. Collaborating closely with our development and product teams, you will design, develop, and execute comprehensive test plans and test cases. Your contributions will help maintain the highest standards of quality and performance in our offerings.

Key Responsibilities

• 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.

Requirements

• 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.
• Ability to work independently and as part of a team.

Preferred Qualifications

• Experience with data analytics platforms and tools.
• Knowledge of Snowplow Analytics products and services.
• 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 with Go (Golang) programming language.

If you are passionate about software quality and enjoy working in a dynamic, innovative environment, we invite you to join our team at Snowplow Analytics.

Apply Now: Join our mission to transform how data-driven organizations leverage their customer behavioral data. Be part of Snowplow’s future!