Top Python Jobs in NYC, NY

Lead development of secure, scalable backend software using Python, Spark, Java, and distributed data technologies. Responsibilities include designing, coding, testing, troubleshooting, reviewing production code, improving application resiliency, automating recurring remediation, and guiding teams in approved AI-assisted engineering practices. The role also evaluates vendor and internal architectural solutions and requires experience with Kafka, Cassandra, Hadoop, SQL/NoSQL platforms, streaming systems, Linux, and enterprise Java development.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Python, Java, AWS, databases, Docker, Kubernetes, and other technologies. Collaborate with product managers, address regulatory needs, mentor engineers, evaluate code, and stay current with emerging technologies. The role requires at least four years of software engineering experience and cloud computing experience.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Develop and integrate scalable backend software for real-time bidding and digital advertising systems. Build RESTful APIs with Python, Django, and PHP; manage Kubernetes/EKS and AWS production deployments; participate across the SDLC, including requirements analysis, testing, deployment, and integration. Collaborate cross-functionally, troubleshoot complex issues, support system reliability, conduct code reviews, mentor engineers, and promote engineering best practices. The role is onsite in New York four days per week and may require nights or weekends.

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.

The Lead Software Engineer will oversee technology projects, mentor developers, collaborate on cloud solutions, and utilize various programming languages and AWS tools to drive innovation and meet business needs.

Leads design, development, testing, troubleshooting, and operational stability for real-time, mission-critical Python systems. Drives AI-assisted engineering practices, cloud-native delivery, automation, resiliency, security, and performance optimization. Evaluates architecture and technology with vendors and internal teams, leads software engineering communities of practice, and coaches engineers on responsible, secure, and compliant use of AI tools and large language models.

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 Lead Software Engineer will lead diverse technology projects using Python and AWS, mentor team members, and collaborate with product managers to build cloud-based solutions.

Design, develop, and troubleshoot secure, scalable software; produce high-quality production code and architecture artifacts; use AI-assisted coding tools responsibly; apply SDLC and agile practices (CI/CD); analyze large datasets to improve code hygiene and system resiliency.

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

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.

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

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.

Develop and maintain a healthcare software platform using Python and Django. Responsibilities include building backend services and features, translating healthcare and business requirements into scalable solutions, debugging production issues, participating in testing and code reviews, and collaborating with technical, product, design, healthcare, and leadership stakeholders throughout the platform lifecycle.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

Lead backend engineering efforts to design, build, test, and deploy cloud-native, AI-enhanced microservices. Mentor engineers, drive architecture and technical direction, integrate LLMs and advanced AI tooling, and ensure scalable, performant omnichannel messaging platforms.

Lead backend architecture and development for a GenAI framework supporting AI agents and healthcare automation. Establish Python standards, scale production applications, drive AI coding assistant adoption, and oversee testing, observability, infrastructure, and build-versus-buy decisions. Partner across engineering, product, and business teams while mentoring senior engineers and translating strategic goals into technical roadmaps. The role focuses on data-intensive systems, APIs, cloud infrastructure, and agentic workflows in a healthcare technology environment.

Develop production-grade Python services, pipelines, testing frameworks, and data tools that automate quantitative market and credit risk model lifecycles. Build AI/ML and LLM-enabled documentation, data quality, validation, and workflow capabilities within governed enterprise environments. Collaborate with quants, validators, data engineers, and program leaders while applying secure software engineering, CI/CD, testing, and scalable design practices. Mentor junior developers and contribute to technical design reviews.

Lead Data Engineer designing, building, testing, and supporting cloud-based data pipelines and platforms. Collaborate across Agile teams to implement scalable data movement, modeling, governance, and streaming solutions using Python, Spark, Kafka, Snowflake/Databricks, and other big data tools. Mentor engineers and drive technical innovation.

Design and maintain scalable Python backend services, enterprise data integration frameworks, batch pipelines, REST APIs, and AWS cloud-native applications. Build serverless solutions using Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Improve data pipeline observability, resilience, monitoring, and performance while supporting analytics, machine learning, and AI use cases. Collaborate with stakeholders and engineering teams, troubleshoot distributed systems, mentor junior engineers, conduct code reviews, and promote modern development and DevOps practices.

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