Top Senior Python Jobs in NYC, NY

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Lead a portfolio of technology projects with a team of developers to create solutions for regulatory needs, collaborating on cloud-based projects while mentoring engineers.

Contract Python Developer to build backend services using Django/Flask. Requires strong object-oriented Python, familiarity with C++ STL, and front-end skills (HTML, CSS, JavaScript, jQuery or Angular). 6+ month contract based in Brooklyn, NY.

Develop and maintain backend services using Python (strong OOP) with Django or Flask; some C++ STL work. Build/integrate front-end components using HTML, CSS, JavaScript and jQuery or Angular. Contract role based in NYC.

Develop and maintain backend services using Python with strong object-oriented design; implement backend scripting with Django or Flask; integrate or collaborate on C++ components; support front-end work using HTML, CSS, JavaScript, jQuery or Angular. Contract role based in NYC for 6+ months.

Contract Python Developer to build backend services using Django/Flask with very strong object-oriented Python. Requires some C++ STL experience and front-end familiarity (HTML, CSS, JavaScript, jQuery or Angular). 6+ month contract located in Jersey City, NJ.

Lead development of Python-based quant research and portfolio construction platforms: design, build, test, and operate production-quality code; partner with Quant Research on models, validation, reusable libraries, and AI-assisted engineering practices to improve delivery, security, and resiliency.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Lead backend engineer responsible for designing, building, and operating cloud-native, microservices-based systems; ensuring scalable, secure, high-availability data processing; leading team adoption of enterprise AI-assisted development practices; driving testing, release reliability, and continuous technology improvements.

Lead an agile team to design, build, and deliver secure, scalable web and backend systems. Develop production-quality code, architect microservices (Java/Python/Spring Boot), implement cloud-native and data processing solutions, improve operational stability, mentor engineers, evaluate vendors, and promote engineering best practices and new technologies.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

As a Senior Python Developer, you'll build financial systems, develop microservices, and utilize cloud-native technologies on AWS, while ensuring code quality and performance.

Lead diverse technology projects in distributed microservices and full stack systems, mentoring team members and collaborating with product managers on cloud-based solutions.

Lead a team to develop distributed systems using Golang and Python on Kubernetes, collaborate on AI/ML solutions, and drive technological innovation.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Develop and maintain high-scale, high-performance, highly available server systems using Python and frameworks (Django/Flask). Build REST/SOAP/JSON APIs, integrate message buses (RabbitMQ/ActiveMQ, Kafka preferred), and work with Cassandra and distributed system tools like Zookeeper. Apply algorithms, distributed systems knowledge, and Agile/Scrum practices.

Develop Python-based solutions performing SQL/CRUD database operations, extract/transform/generate files (CSV, XML, JSON, PDF), and implement email integrations. Work within an onsite/offshore model, communicate clearly, and perform reliably under high-pressure conditions.

Senior developer responsible for design and development of multi-tier applications using Java, C++ and Python. Must have strong object-oriented skills, standalone development experience, domain knowledge in derivatives/fixed income and regulatory reforms (Dodd-Frank), and strong communication with business and testing teams.

Develop and maintain front, middle, or back-office trading platforms for investment banks. Work on trade capture, real-time multithreaded risk portals, and rewrite reporting with precognitive error checking and auto-correct features. Collaborate across teams and explain technical solutions to non-technical stakeholders.

Design, build, test, deploy and support Python-based front-office applications and self-service reporting tools. Collaborate with stakeholders, participate in agile rituals, resolve bugs, improve performance, and implement CI/CD and microservice solutions.

Design and deliver scalable Python applications for mortgage trading, analytics, workflows, and reporting. Integrate platforms with business, risk, and product teams. Lead full development lifecycle, apply AI/GenAI to automate workflows and analysis, ensure CI/CD, testing, and production readiness, resolve complex issues, coach junior staff, and act as SME with limited supervision.