Top Python Jobs in NYC, NY

Develop Python-based microservices and APIs for GenAI applications, participate in architecture discussions, and write tests for reliability.

As an Azure Data Engineer, you'll create data pipelines, orchestrate them using Azure Data Factory, and enhance data transformations based on requirements, ensuring data integrity and performance optimization.

Develop and support web services for digital life insurance enrollment, collaborating closely across teams to enhance platform capabilities. Responsible for the quality and maintainability of services, utilizing Python and Java, among other technologies.

Seeking a Senior Software Engineer to design scalable backend services and optimize data pipelines in Python, working with AWS in a team-oriented environment.

As a Lead Software Engineer, you will develop and enhance applications using Python, manage REST APIs, oversee code quality, and collaborate with stakeholders.

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

As a Python Developer, you will design and implement AI solutions, build RAG pipelines, and collaborate directly with clients to address their challenges.

Develop and maintain open-source SDKs for AI observability and evaluation, ensuring efficiency, user-friendliness, and compatibility across frameworks.

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.

The Staff Python Software Engineer will modernize legacy systems, design backend services, mentor engineers, and drive technical improvements in a remote role.

The Senior Python Data Engineer will develop and maintain scalable Python applications, collaborate with teams, ensure code quality, and contribute to system design in a financial analytical environment.

The Senior Python Data Engineer will develop and maintain Python applications, collaborate with teams, ensure code quality, and contribute to design and support of systems relevant to financial analytics.

Develop and optimize GPU-accelerated implementations of Python numerical libraries, collaborate on requirements, and enhance performance across CPU and GPU architectures.

Design and build applications using Python, optimize performance, manage source code, collaborate on project execution, and meet client requirements.

Develop and architect trading software and infrastructure with a focus on automation, scalability, and high-performance data management.

The Full-Stack Developer will design and develop cloud-native applications using Angular and Python, implement APIs, collaborate on system architecture, and maintain code quality.

Lead the design and development of cloud-native applications on AWS, mentor developers, ensure compliance with best practices, and manage cross-functional teams to deliver scalable solutions.

Join the Mitratech HR Solutions Engineering team as a Senior Software Engineer focused on building AI-driven SaaS products using Python, React, and AWS. Collaborate on design and architecture, guide junior engineers, and ensure code quality while participating in DevOps practices.

Lead the redesign of an Order Management System, driving strategy, architecture, and delivery with a focus on performance and stakeholder management.

Develop scalable backend systems for government clients, modernize legacy platforms, and collaborate with teams to enhance user experiences.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

As a Telco Cloud Engineer, you will design and implement open-source cloud solutions, conduct pre-sales consulting, and ensure customer success in telecom services.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

The Software Engineer will build scalable data pipelines, develop internal tools, maintain cloud infrastructure, and advocate for development standards.

Develop and maintain systems for systematic investing, focusing on data pipelines, trading tools, and technical monitoring within a collaborative team.