Top Senior Python Engineer Jobs in NYC, NY

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.

Lead design and implementation of data architecture and scalable storage solutions, drive AI/GenAI thought leadership, oversee data governance and security, translate business requirements into technical plans, implement FastAPI endpoints, enhance LLMs through prompt engineering, and manage cross-functional teams to deliver advanced data and AI solutions.

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

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

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.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

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

Alaffia Health seeks a Senior Python Engineer to develop AI-driven medical billing applications, focusing on backend API development and data processing. Responsibilities include collaborating across teams, improving observability practices, and ensuring successful project delivery.

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

Design, build, and maintain high-availability backend services and RESTful APIs using Python/Django and PHP. Own production deployments on Kubernetes/EKS and AWS, mentor junior engineers, produce technical documentation, define architecture, track performance metrics, and collaborate with stakeholders to deliver scalable ad-tech platform features.

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.

Lead backend development on the scheduling platform modernization, contribute across products, write APIs, and drive AI-accelerated software development workflows.

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.

Senior iOS developer responsible for implementing native iOS features, improving user experience, participating in agile squads, conducting code reviews, troubleshooting customer issues, and helping modernize backend services on AWS. Collaborates with product and UI teams and documents technical knowledge while following best practices.

Design, build, test, and maintain backend applications using FastAPI and SQLAlchemy. Implement database schemas, integrate front-end components, optimize for performance and scalability, debug issues, participate in code reviews, and collaborate on feature design. Maintain clean, testable code and stay current with best practices.

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.

The role involves developing scalable backend services using Python, optimizing performance, integrating AI features, and collaborating with cross-functional teams.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

Develop and maintain AWS cloud-native applications and backend services using Python. Design scalable architectures, APIs, event-driven applications, and system integrations with Lambda, Step Functions, Kafka, Terraform, and CloudWatch. Troubleshoot complex cloud issues, support migration and modernization, and contribute to technical architecture decisions. This is a hands-on senior developer role requiring regular coding, strong system design, and backend development expertise, with Java-to-Python/AWS experience preferred.

Designs and delivers scalable Java and Python applications for mortgage technology, trading, analytics, workflows, and reporting. Partners with business, risk, product, and technology teams to integrate platforms and improve processes. Oversees development through testing, implementation, and operational support; applies AI and GenAI to automate workflows and analysis. Resolves complex technical initiatives, follows engineering and CI/CD standards, mentors junior staff, and serves as a subject matter expert.

The Senior Full-Stack Engineer will develop and maintain scalable web applications using Python and React, design APIs, and deploy applications on AWS.

The Software Engineer will enhance trading systems and applications, collaborate with quants and traders, and lead project initiatives.

The Senior AI/ML Engineer will develop and improve analytical tools, approaches, and architecture for scalable AI and machine learning solutions, collaborating with engineers and data scientists on innovative projects.

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

Design and implement data federation and lakehouse architectures, build scalable ETL/ELT pipelines with Python and Spark, optimize performance across federated queries, manage Delta/Iceberg/Hudi tables, and enforce governance, security, and access controls for analytics and AI teams.