Top Software Engineer Jobs in NYC, NY

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Leads software engineering workstreams and develops, reviews, tests, and releases applications across web, mobile, and enterprise platforms. Guides project planning, budgeting, delivery, and issue resolution while applying AI-enabled solutions and improving software quality. Translates business requirements into technical designs, mentors developers, manages client expectations, and supports CI/CD, architecture, and product innovation.

Build growth-focused technical foundations, polished React interfaces, AI coding-agent systems, and end-to-end product experiments. Use data, customer research, A/B testing, and product intuition to identify opportunities that improve activation and engagement. Provide technical leadership, mentor engineers, collaborate cross-functionally, and balance product quality, speed, and business impact.

Design, build, and maintain scalable backend enterprise services for user, group, and membership management. Develop TypeScript, REST, and JSON services; implement SCIM-based identity synchronization and lifecycle management; operate high-scale systems through on-call rotations; and use Terraform, AWS CloudFormation, and Kubernetes to deliver highly available applications. Collaborate across teams on large-scale projects involving security, identity protocols, and access control models.

Lead a small engineering team while remaining hands-on in designing, building, and shipping production software. Own complex technical initiatives, set architectural direction, mentor engineers, remove technical blockers, and collaborate with Product and Design. The role focuses on distributed systems, cloud-native architecture, software quality, technical execution, and scalable AI platform features.

Develop and scale quantitative software, models, systems, tools, frameworks, and libraries supporting machine learning, quantitative research, and trading. Collaborate with research partners to prototype and implement models, design quantitative architectures, optimize performance, and improve scalability. The role requires algorithm development, scientific computing, and expertise with Python-based numerical and machine learning technologies.

Develop and optimize low-latency quantitative software for research, feature construction, alpha generation, and trading. Partner with quantitative researchers to prototype and implement components in Rust, C++, and Python, analyze real-time and simulated trading data, and research improvements to models, feature pipelines, and strategies. Build deep expertise in research systems, quantitative domains, and financial markets while delivering high-quality, high-performance software.

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Develop and productionize quantitative research systems supporting forecasting, simulation, optimization, modeling, and trading. Collaborate with quantitative researchers to prototype architectures, analyze the impact of engineering work on trading models, evolve core research components, and build expertise across multiple domains. The role requires strong software engineering and quantitative analysis skills, with knowledge of statistical methods, convex optimization, numerical methods, performance optimization, and financial market structures beneficial.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.

Build and optimize low-latency, high-throughput trading systems and research infrastructure for a wholesale market-making business. Collaborate with quantitative researchers, modelers, and traders to solve business problems and deliver engineering improvements that directly affect trading performance and revenue.

Develop and productionize software for portfolio research, optimization, forecasting, and simulation. Partner with quantitative researchers to prototype architectures, accelerate research, analyze model impact, evolve core systems, and build expertise across portfolio research domains. The role requires strong software engineering and quantitative skills, including mathematical optimization, linear algebra, statistical methods, and numerical methods.

Build and optimize high-performance platforms for simulated and live trading across financial markets and asset classes. Responsibilities include implementing trading and measurement applications, analyzing system performance, reviewing code, extending platforms, and supporting traders with portfolio orders. The role requires systems-level programming, market structure knowledge, and collaboration with quantitative modeling teams.

Develops secure, scalable native iOS applications for business banking. Responsibilities include Swift development, architecture and design, unit and UI testing, CI/CD, troubleshooting, modularization, dependency injection, reusable SDK development, and use of AI-assisted coding tools. The role also analyzes application data, improves coding hygiene and system architecture, and collaborates within an agile engineering team.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

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.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Develop AI-powered automation, analyze product usage data, iterate through AI-assisted development, and expand technical skills across languages and frameworks. Interns will collaborate with engineers and data analysts, communicate technical tradeoffs, and work in person at the company’s Union Square NYC office.

Develops secure, scalable software solutions within an agile team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, visualization, and operational stability. The role also uses enterprise-authorized AI-assisted development tools responsibly, validates generated outputs, improves coding practices, and supports CI/CD, resiliency, and security standards.

Design, implement, test, debug, and operate scalable backend services such as identity, friend graph, and persistence systems. Collaborate across teams to deliver product solutions while maintaining availability, scalability, security, operational excellence, and cost efficiency. Investigate incidents and hotfixes, apply distributed-systems best practices, and use AI-assisted development tools while auditing output for quality and security.

Build and operate scalable backend services powering AI agent orchestration, real-time data pipelines, scheduling, conversation history, APIs, and platform infrastructure. Collaborate with AI, product, and front-end engineers to deliver AI-powered features, improve reliability, and support consumer and enterprise customers. The role includes infrastructure as code, testing, documentation, production debugging, cross-functional prioritization, and mentoring junior engineers.

Develop and scale full-stack software that calculates and delivers restaurant employee pay, including tip pooling, wage calculations, earnings retrieval, and payroll delivery. Responsibilities include designing reliable services, participating in code reviews and architecture discussions, influencing technical roadmaps, and collaborating with product, design, and engineering teams. The role requires backend development, modern web technologies, databases, distributed systems, messaging, microservices, and a strong focus on precision and production reliability.

Develop and deliver complex software features using Ruby on Rails and React. Responsibilities include system design, requirements clarification, deployments, operational support, performance and security improvements, database optimization, AWS infrastructure troubleshooting, SSO integrations, monitoring, web server administration, compliance implementation, automated testing, and mentoring junior engineers.

Build and operate scalable, customer-facing full-stack software for Samsara’s safety products. The role involves developing web, mobile, API, and platform capabilities; integrating LLMs, agentic workflows, and RAG; evaluating AI quality; and improving reliability, scalability, and operational health. The engineer collaborates with Product, Design, ML, and platform teams while owning features from concept through production.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Develop and support secure healthcare integration services connecting providers, payers, delegated entities, and third-party platforms. Responsibilities include API development, distributed systems, event-driven messaging, cloud automation, CI/CD, automated testing, observability, production support, secure authentication, and cross-functional agile collaboration. The role also contributes to healthcare interoperability solutions using standards such as FHIR.