Job Description Your mission: take an already high-performing team to the next level. This unit powers core services - wealth management, market making, risk management, regulation, and more - with outstanding efficiency and feature delivery. We are committed to finding a leader who leads by example and truly lives best practices. You will manage a focused team of five, united by a long-term vision, strong culture, and real independence. The ideal candidate will have a strong background in our tech stack, especially Python. Proficiency in AWS services, serverless architecture and system design are essential, as is a deep understanding of various databases. You recognize the importance of people management and are committed to it, knowing that few can do it well. Responsibilities: Lead and inspire a team of dedicated Python backend engineers, empowering quant development tech units to deliver services beyond what competitors can imagine. Design and build new platforms for our customers using cutting-edge technology and modern software practices such as agile teams, test automation, and cloud-based infrastructure. Remain open to replacing your system when a better alternative emerges. Drive legacy systems forward, remembering that every service here has been rewritten multiple times - reflecting our commitment to progress, not complacency. Our legacy is about leaving a meaningful mark, not tech debt. Select tools for storing, processing, and visualizing large and evolving datasets from diverse sources - we are a data-centric team that treats data with respect. Write clean, testable and maintainable code and treat clarity as a first class citizen. Prioritize tangible business results and maintain a business-first approach in all engineering decisions. Promote teamwork, open communication, and knowledge sharing among colleagues. Create the next generation wealth management and brokerage services for everybody. Tech stack: Python, DevOps, Docker, CI/CD pipelines, Infrastructure as a Code (Terraform), AWS services such as Lambda, SQS, SNS, ECS, Step Functions, Aurora, DynamoDB, Glue, Athena and event-based asynchronous architectures.