Lead Python Developer, New York

Overview In this role you will build scalable Python-based microservices and cloud-native applications for top-tier financial clients. You’ll work in an Agile team to design and implement risk platforms and data-processing systems, leveraging streaming and REST technologies. You will shape architecture with Docker, Kubernetes, and Kafka to deliver high-performance financial software. This is an opportunity to impact risk management and data workflows at scale. Compensation / Benefitsbase salary range (disclosed)discretionary bonusinclusive environmentequal employment opportunity policyon-site work in New Yorkopportunities across multiple levels Responsibilities Develop scalable Python-based microservices to process data streams using streaming, messaging, and REST technologies Design and implement robust solutions for market and credit counterparty risk platforms Utilize advanced Python features to build efficient and maintainable code Architect and implement solutions using Consul, Docker, Kubernetes, Kafka, and Spark Collaborate with cross-functional teams in an Agile environment to deliver high-quality financial systems Create and optimize database models for SQL, MongoDB, and key-value stores Build and maintain testing frameworks using Behave and PyTest to ensure software reliability Design and implement asynchronous operations, multithreading, and multiprocessing in Python Develop and deploy cloud-native applications in AWS environments Lead the design and integration of messaging, streaming, and REST APIsEnsure high-performance, scalable solutions with consistent deployment processes Key requirements 8+ years of commercial-grade software development experience with complex applications Strong expertise in Python 3.4+, including advanced language features, asynchronous operations, and OOP/functional programming principles Proven experience with market and credit counterparty risk platforms (mandatory)Experience developing cloud-native applications on AWS (mandatory)In-depth knowledge of microservices architecture and data modeling Expertise in messaging, streaming, and REST API development Familiarity with tools like Consul, Docker, Kubernetes, Kafka, and Spark Proficiency in Agile development methodologies Bachelor's or Master's degree in Computer Science, Engineering, Physics, Math, or equivalent work experiencecollaborationproblem-solvingcommunication Python 3.4+ (async, OOP/FP)microservices architecturedata modeling (SQL, MongoDB, key-value stores)