Top Senior Python Jobs in NYC, NY

Develop production-grade Python data processing pipelines and FastAPI service endpoints with asynchronous processing. Design and optimize SQL queries and stored procedures, work with Unix and Git, write unit tests, and support multiple Agile projects. Preferred experience includes finance data, AI model monitoring and debugging, ML service deployment, anomaly detection, pandas, scikit-learn, and generative AI solutions using LLMs and multimodal models.

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.

Leads backend software engineering efforts, coordinates engineers, defines technical tasks, and guides architecture and implementation. Designs scalable, secure, fault-tolerant services; improves engineering processes and standards; evaluates technical trade-offs; and contributes to roadmaps. Provides technical leadership and mentorship, manages cross-functional relationships, owns service performance and availability, participates in on-call support, and represents the company with external partners.

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.

Develop and deliver scalable Python applications supporting mortgage trading, quantitative analytics, workflows, and reporting. Integrate AI and generative AI capabilities, collaborate with business and technology stakeholders, and manage the full software development lifecycle from analysis through production support. The role requires applying engineering standards for coding, testing, CI/CD, debugging, and production readiness while resolving complex initiatives, advising stakeholders, and mentoring junior team members.

Designs and delivers scalable Java and Python applications for mortgage trading, analytics, workflows, and reporting. Partners with business, risk, product, and technology teams to integrate platforms and develop products. Applies AI and GenAI to automate workflows and analysis, manages the software development lifecycle, supports production applications, resolves complex initiatives, and mentors junior team members.

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 scalable Java and Python applications for mortgage trading, quantitative analytics, workflows, and reporting. Integrate AI and generative AI capabilities, collaborate with business and technology teams, and oversee application development from analysis through production. Responsibilities include coding, testing, CI/CD, debugging, operational support, process improvement, and resolving complex technical initiatives. The role also advises stakeholders and coaches junior analysts while working with limited supervision.

Develop and support scalable Python applications for mortgage trading, quantitative analytics, workflows, and reporting. Integrate AI and generative AI capabilities, collaborate with business and technology teams, and manage the full software development lifecycle from analysis through production support. The role requires coding, testing, CI/CD, debugging, system integration, process improvement, stakeholder advising, and mentoring junior analysts.

Own the technical foundation of a manufacturing software product, including auditing and hardening the existing codebase, designing architecture, shipping full-stack features, integrating ERP systems, evolving data models, building real-time capabilities, and managing infrastructure, deployment, and monitoring. The founding engineer will engage users, guide product decisions, establish engineering standards, help hire future engineers, and contribute to AI-powered features.

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.

Leads multiple technology projects and engineering teams developing distributed microservices, full-stack systems, and cloud-native platforms. Provides technical leadership on architecture, system design, reliability, performance, platform roadmaps, and shared services. Partners with product managers and architects, mentors engineers, drives technology strategy, establishes coding standards, and delivers secure solutions supporting regulatory and compliance needs.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

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.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

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.

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.