Summary
Maggie Salak is a software engineer with eight years of experience designing and shipping scalable backend and data systems across top tech and financial firms. She has built high-throughput services and big-data pipelines at companies including Microsoft, Uber, Doodle, Optiver and Amazon, working with languages and platforms from C#, Java and Go to Spark, Kafka and Kubernetes. At Microsoft she supports global-scale customers in CSE, applying cloud-native practices (Azure, Terraform, CI/CD) to real-world enterprise requirements. Her background in both finance and ad-tech gives her a strong instincts for low-latency reliability and data-driven product impact—she once led a terabyte-scale pipeline to surface marketing campaign performance. Comfortable across the full development lifecycle, she pairs systems-level thinking with hands-on implementation and operational monitoring. Based in Zurich, she combines quantitative training in economics and computer science with practical experience building production-grade distributed systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Warsaw School of Economics
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Warsaw
English, German, Polish, Dutch