Top Python Jobs in NYC, NY

Design, develop, test, deploy, and maintain Python applications, services, APIs, platforms, libraries, and tools supporting investment workflows including research, trading, risk management, data, and enterprise operations. Collaborate with investment professionals, quantitative researchers, and engineers; contribute to architecture and engineering best practices; and solve complex technical problems in a dynamic environment.

Lead engineering projects and developers building full-stack, cloud-based solutions with distributed microservices. Design service boundaries and reusable frameworks, establish engineering standards, mentor engineers, improve system performance, reduce technical debt, and evaluate emerging technologies. Work with Python, Go, Kubernetes, Docker, databases, AWS, and other cloud platforms in an Agile environment supporting AI/ML platforms and regulatory needs.

Leads full-stack software engineering projects and development teams, building cloud-based solutions with microservices, APIs, databases, container orchestration, and front-end frameworks. Provides technical leadership, establishes engineering standards, mentors developers, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy across Agile teams.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Design service boundaries, APIs, reusable frameworks, and scalable systems using AWS and modern programming languages. Establish engineering standards, improve performance, reduce technical debt, and support operational excellence across Agile teams. Mentor engineers, evaluate emerging technologies, contribute to long-term technology strategy, and deliver financial technology solutions supporting regulatory and enterprise needs.

Leads technology projects and developers building full-stack, distributed microservice systems for financial technology. Designs cloud-based solutions, partners with architects on service boundaries and integration patterns, establishes engineering standards, reduces technical debt, and improves system performance. Provides technical leadership across Agile teams, mentors engineers, evaluates emerging technologies, and delivers solutions using modern programming languages, databases, containers, and cloud services.

Leads software engineering projects and developer teams building cloud-based full-stack and microservices solutions for financial technology. Responsibilities include technical leadership, mentoring, architecture collaboration, API and database development, cloud engineering, performance optimization, technical debt reduction, Agile delivery, and establishing engineering standards. The role uses Python and AWS alongside multiple programming languages, container orchestration, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development tools.

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.

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.

Lead technology projects and engineering teams building cloud-based, full-stack solutions with distributed microservices. Develop and maintain systems using multiple programming languages, databases, APIs, containers, cloud services, CI/CD, and automated testing. Provide technical leadership, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence long-term technology strategy.

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.

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.

Build and lead full-stack software engineering projects using cloud-based, distributed microservices and full-stack systems. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, and partner with product managers and architects. Develop APIs, reusable frameworks, and scalable solutions using multiple programming languages, databases, container orchestration, and AWS services. Improve system performance, reduce technical debt, evaluate emerging technologies, and support regulatory business needs.

Build and scale Neuroscale’s backend platform for AI-powered recruiting workflows. Responsibilities include developing Python/FastAPI REST APIs, designing high-throughput systems, managing PostgreSQL, Redis, OpenSearch, Celery, and Temporal infrastructure, deploying services on AWS, maintaining containerized CI/CD pipelines, and supporting integrations, data pipelines, and asynchronous workflows. The role owns architecture and reliability decisions, mentors engineers, and collaborates with AI, product, and frontend teams in a high-ownership startup environment.

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.

Build and maintain AI-assisted full-stack platforms for manufacturing, spanning AWS infrastructure, Python Lambda services, Java microservices, agentic LLM workflows, and Angular interfaces. Develop event-driven architectures, APIs, retrieval and scoring systems, infrastructure as code, observability, CI/CD, and secure deployment strategies. Apply rigorous testing, specification-driven development, concurrency practices, and production reliability techniques across multi-repository systems. The role requires hands-on software development experience with enterprise server, storage, or networking products.