Lead Python Developer, New York

The Role: 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, such as context managers, decorators, and descriptors, 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 APIs. Ensure high-performance, scalable solutions with consistent deployment processes. DESIRED SKILLS AND EXPERIENCE8+ 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 withmarket and credit counterparty risk platforms (optional).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 experience. We are hiring across multiple levels for this job. The base salary range across different levels are: • Mid to Senior level – $180,000 - $220,000 Placement within the range provided above is based on the individual's relevant experience and skills for the role and level. We are hiring across multiple levels for this job. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance. Salary range disclosure as required by S9427A when hiring in New York. Our total rewards program is designed to support employee well-being and professional growth. We offer a competitive benefits package including a discretionary bonus, paid holidays, a 401(k), and comprehensive medical, dental, and vision coverage. Additional benefits include life insurance, short and long-term disability, Commuter FSA, Family Building Benefits, and more. All benefits are subject to eligibility requirements. Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.