Senior Python Developer

About TalaTala is a global technology company building the world's most accessible financial services.
With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC's Disruptor 50, and Forbes' Fintech 50 list for five years running.
We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence.
Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products.
Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world.
If you are energized by the impact you can make at Tala, we'd love to hear from you!What You'll DoBuild and maintain a feature store that delivers real-time data to ML and AI ModelsCollaborate in designing a feature store as a distributed system, integrate with Data Platform's Event-Driven architecture to compute and deliver real-time features and analytics for ML and AI modelsWhat You'll NeedPrevious experience in a software company or a platform team5+ years experience working on software engineering, using Python3+ years experience working with Django | Flink | FastApiExperience deploying infrastructure as code using CloudFormation or Terraform in AWS, GCP, or AzureNice to have2+ years of engineering experience using streaming tools like Kafka, AWS Kinesis, and FlinkPrevious experience working with MLEs or DSs, building and maintaining a Feature Store