Who you are

• Strong software development background with modern programming languages
• Proven experience using AI coding tools regularly in production environments
• Eager to learn and lean into our existing Typescript/Javascript Node.js codebase
• Hands-on experience designing and operating large-scale data processing systems
• Familiarity with message queue systems, Spark, Docker, all types of databases, and data storage engines
• Comfortable working with unstructured or inconsistent data, and making sense of it
• Excellent written and verbal English skills, especially in remote collaboration
• Clean, maintainable code style with strong emphasis on testing and peer review
• Eager to learn, open to feedback, and naturally collaborative in a remote setting
• Your core values match ours: ownership, collaboration, innovation, respect, and authenticity

What the job involves

• As our Senior Data Engineer, you work remotely with our Head of Engineering and take ownership from day one by working independently while being an effective communicator
• You get involved in the larger goal of mapping out the origin and nature of the internet-based bad behavior and abuse we observe
• With your extensive technical experience in Big Data design patterns, particularly in long-term storage and normalization, you are the go-to person for all data-related questions
• In this strategic, oversight, and creative role, you act as a standalone engineer to contribute to the success of our company
• By taking responsibility and contributing your ideas, you bring our products to the next level while demonstrating how AI tools can multiply developer productivity
• Architect and maintain robust data pipelines to transform diverse data inputs into a cohesive structure
• Integrate data from Postgres, Redis, MongoDB, Kafka, and other event sources into a unified platform to make sense of the abuse patterns we see across our detection systems
• Build APIs with AI assistance to enable secure access to consolidated insights for internal and external stakeholders
• Create dashboards and internal tools for exploration, monitoring, and debugging with AI assistance
• Identify behavior clusters and detect patterns within large, noisy datasets to maximize the relevance of the threat intelligence data we share with customers
• Guide architectural decisions and advise on data questions across engineering teams to help everyone extract as much value as possible from our data

The application process

• We value authenticity in our hiring process. During interviews, we'll share openly about both our successes and our challenges - that's how we stay true to our values. We're looking for real people, not perfect personas
• We encourage you to use AI tools responsibly for structure, clarity, and polish, but the content you submit needs to be yours
• Your application should reflect your actual skills, qualifications, and experience
• During video interviews, we expect you to answer based on your own knowledge and experience - no AI assistance or live coaching tools

Benefits

• Remote working environment
• Regular team events
• Develop your skills with online courses, conferences, and internal knowledge sharing
• Work with the latest technology
• Flexible PTO