Job Description

Lab49 is seeking a skilled Python Developer to work on complex and challenging projects that drive transformative change for top-tier financial services clients. The role involves building next-generation financial systems, developing high-quality, scalable microservices, and creating systems to process various data streams using cutting-edge technologies. Operating in an Agile environment, this position requires strong expertise in Python, experience with market and credit counterparty risk platforms, and proficiency in developing cloud-native applications on AWS.

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
• Create and optimize database models for SQL, MongoDB, and key-value stores
• Build and maintain testing frameworks using Behave and PyTest
• 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 APIs
• Ensure high-performance, scalable solutions with consistent deployment processes

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
• Experience developing cloud-native applications on AWS
• 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 experience

Benefits

• No benefits