Top Senior Python Engineer Jobs in NYC, NY

Develop high-performance C++ software for machine learning, computer vision, inverse procedural modeling, and 3D content generation. Apply linear algebra, probability, and geometry to large-scale geospatial datasets. Collaborate with leadership on product requirements, manage code with Git, deploy and test on remote Unix-based systems, and contribute to research-driven computer graphics and gaming applications.

Design, build, deploy, and operate scalable backend services, APIs, microservices, integrations, and cloud-native applications for enterprise learning platforms. Responsibilities include database design, security, testing, CI/CD, observability, troubleshooting, performance improvements, architecture reviews, and production support. The role collaborates cross-functionally and uses AI-assisted development tools to improve software delivery while maintaining quality and reliability.

Develop Python-based margin calculation, collateral optimization, analytics, and rule-engine solutions for securities finance. Integrate pricing, risk, and collateral platforms through APIs and distributed processing. Build Angular and Next.js applications for margin workflows, dashboards, and alerts. Optimize performance, automation, and cloud-native deployments while partnering with Quant, Risk, and Operations teams. The role requires deep capital-markets software development experience, quantitative programming skills, and knowledge of margin, derivatives, repo, securities lending, and collateral management.

Develops and owns scalable personalization software on GCP using Java and Python. Designs cloud-native, microservices, batch, real-time data processing, and distributed systems; writes code and tests, performs architecture and code reviews, supports application availability, and collaborates with product owners. Drives agile engineering practices, technical planning, continuous improvement, innovation, and mentorship across enterprise platforms.

Lead the architecture and hands-on development of scalable, resilient Python applications for quantitative and market risk domains. Drive stress testing and regulatory risk initiatives, design distributed systems and APIs, enforce SDLC and code quality practices, and collaborate with Risk, Quant, DevOps, and production teams. Responsibilities include cloud and CI/CD delivery, performance optimization, secure coding, testing, technical planning, governance, and integrating AI/ML capabilities in a global environment.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Develop and maintain scalable Python and Django web applications, RESTful APIs, database models, and third-party integrations. Troubleshoot issues, optimize performance, write tested and maintainable code, collaborate with cross-functional teams, and deploy applications across development, staging, and production environments.

Lead full-stack development and modernization of cloud-based investment platforms supporting portfolio management and trading. Design secure APIs, user interfaces, AWS infrastructure, and CI/CD pipelines; oversee production operations, testing, releases, documentation, and code reviews. Partner with business teams, vendors, and global stakeholders to define solutions, troubleshoot issues, and improve reliability. Provide technical leadership, mentorship, governance, security assessments, and root-cause analysis across development teams and investment technology systems.

Leads full-stack development and modernization of cloud-based investment technology platforms. Designs APIs, user interfaces, AWS infrastructure, integrations, CI/CD pipelines, and production support processes. Oversees code reviews, testing, security, documentation, root-cause analysis, and operational improvements. Partners with investment, product, operations, vendors, and technology stakeholders to define requirements and deliver scalable solutions. Provides technical leadership, mentorship, governance, and delivery oversight across employees, contractors, and vendor teams.

Build AI-first SaaS features including LLM workflows, RAG, and agents; design agentic development pipelines with automated testing and quality gates; review code and architecture; ensure security, scalability, and accuracy; participate in on-call support; mentor teammates; and improve AI-agent specifications, evaluations, documentation, and integrations.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, correctness, and user guidance. Provide clear written feedback, distinguish response-quality levels, help define evaluation standards, and record brief video explanations. This flexible remote contract requires strong software engineering experience, familiarity with AI-assisted development workflows, and excellent English communication.

Design, build, and own a multi-tenant enterprise SaaS backend that feeds ML data and BI. Collaborate with product, data science, UX, and users to deliver scalable, reliable customer-facing AI solutions. Drive systems design, database schemas, development lifecycle standards, technical docs, and code reviews while using AI/agentic tools to accelerate development.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Build capabilities for planning, memory, tool calling, RAG, observability, and enterprise integrations. Collaborate with engineering teams and stakeholders to deliver scalable production-grade generative AI solutions, troubleshoot issues, improve reliability, and establish AI engineering best practices.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Own Telnyx’s global phone-number ordering pipeline, carrier integrations, regulatory automation, AI-powered order review, and Postgres data layer. Build reliable async Python services with retries, rollbacks, queues, SLA monitoring, document verification, auditability, and human escalation. Improve automation across dozens of vendors and 45+ countries while maintaining dashboards, analytics, and operational alerts across a large microservice estate.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

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.

Founding engineer responsible for architecting and building core product components, writing scalable Python code, designing and maintaining AI/ML infrastructure, implementing testing and CI/CD best practices, shipping backend production systems, collaborating on product roadmap, and mentoring future engineers.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Leads hands-on Python application architecture and development for scalable, resilient systems supporting quantitative and market risk, stress testing, and regulatory risk. Responsibilities include designing distributed applications and APIs, integrating databases and cloud platforms, implementing CI/CD and testing practices, optimizing performance, enforcing security and code quality, and collaborating across Risk, Quantitative, DevOps, and production teams. The role also involves technical planning, governance, Agile delivery, and applying AI/ML and generative AI tools within software development.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.