• A proven self-learner with an eager curiosity to learn a bit more every day.
• Takes a proactive stand into improving the quality of our platform and infrastructure, not only successfully making any changes without compromising our quality but as well as going beyond thinking about how our platform scales for the next 500 logos.
• A master of Python  as well as strong foundations on web frameworks. (Django)
• Skillful in designing data models, running data migrations, designing and writing new APIs.
• Has a strong say about software and infrastructure design, knows how to adapt and create solutions to satisfy project requirements.
• Has potential to be an engineering leader, it's excited about mentoring junior developers.
• Ability to communicate efficiently and positively in daily/weekly meetings, and knows the importance of long-term notes through code comments, documentation of architecture and how-tos, and the establishment of processes.
• Curiosity and some experience with systems relevant to Peel: distributed cloud environments (EC2, serverless, caching, s3, aggregate monitoring/logs, etc.) as well as an understanding of the cost of computing at scale (I/O, CPU, Memory, Docker, time to provisioning, etc.)
• The ability to think through complex parallel processing given our fully distributed data pipeline.
• (nice to have) Has some experience doing and running data analyses on Python, using common tools like Pandas, Numpy, or scikit-learn.

What you'll love about us

We are a mighty customer-driven product-focused growing company filled with motivated people that join together from a variety of backgrounds and skillsets to push new ideas and projects to the finish line. We are a fully remote team too!