Top Software Engineer Jobs in NYC, NY

Build end-to-end product features from design through delivery, lead projects and product areas, shape technical systems and engineering practices, make pragmatic scalability decisions, and mentor teammates. The role requires strong frontend or backend expertise with the ability to work across the stack, product intuition, cross-functional communication, and ownership in a growing, mission-driven team.

Develops secure, scalable software solutions within an agile team. Responsibilities include designing, coding, testing, debugging, troubleshooting, creating architecture artifacts, maintaining production systems, analyzing large datasets, and improving application quality and resiliency. The role also involves using and validating enterprise-authorized AI coding tools, applying secure and responsible AI practices, and guiding peers on effective engineering workflows.

Design, implement, test, debug, and operate highly available backend services at scale. Collaborate across teams to deliver product solutions, manage system availability and scalability, investigate incidents, and apply best practices for operational excellence and cost management.

Build customer-specific software solutions using large-scale data and AI. Responsibilities include collaborating on architecture and design, developing custom applications, engaging with technical and executive stakeholders, and driving high-impact projects from ideation through deployment. The role involves working directly with customers, solving complex technical problems, and traveling to client sites as needed.

FDSE Interns work in small teams to design and implement data-driven solutions for customers, owning end-to-end projects including architecture, large-scale data wrangling, web app coding, and customer engagement. Interns receive mentorship, travel to client sites as needed, and are treated like full-time engineers.

Forward Deployed Software Engineers design and build data- and AI-powered applications for customer organizations. They collaborate with engineers and stakeholders, analyze large-scale data, make architecture decisions, engage directly with technical and executive users, and lead projects from ideation through deployment. The role requires strong coding, analytical problem-solving, teamwork, adaptability, and willingness to travel up to 25% to client sites.

Develops secure, scalable full-stack software solutions in an agile banking technology team. Responsibilities include system design, coding, debugging, testing, architecture documentation, operational stability, data analysis, and troubleshooting. Uses Java, Python, database querying, CI/CD, and enterprise-authorized AI-assisted development tools. The role also promotes responsible AI usage, secure coding, application resiliency, and effective communication with technical and banking stakeholders.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Build and maintain large-scale backend applications and high-volume processing infrastructure. Own projects from discovery through launch, improve system performance, reliability, scalability, testing, monitoring, and continuous deployment, and protect sensitive data. Collaborate with cross-functional teams, contribute to engineering excellence, mentor junior developers, and use technologies including Golang, Ruby on Rails, AWS, Kafka, MySQL, Docker, and Kubernetes.

Develops secure, scalable Java software and microservices using Spring Boot, J2EE, REST, CQRS, Kafka, and Spark. Designs architectures, writes production code, troubleshoots systems, and maintains operational stability. Builds data and event contracts, integrates Oracle and Cassandra databases, and uses testing, observability, CI/CD, and automation tools. Applies AI-assisted development responsibly, validates generated outputs, analyzes data for system improvements, and contributes to secure agile engineering practices.

Develop secure, scalable software for JPMorganChase’s Wealth Management Account Opening platform. Responsibilities include designing, coding, testing, troubleshooting, and maintaining React and Java applications; integrating upstream and downstream systems; applying SDLC, agile, CI/CD, security, and resiliency practices; working with cloud platforms, Kubernetes, Kafka, and databases; analyzing data to resolve problems; and contributing to stable application delivery and inclusive team culture.

Develops secure, scalable Java software for JPMorganChase’s Payments technology teams. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role uses Java, Spring, Cassandra, CockroachDB, Kafka, agile practices, CI/CD, and AI-assisted development tools while ensuring secure coding, resiliency, and high-quality production delivery.

Work on query engines and data-processing infrastructure powering Palantir Foundry. Responsibilities include optimizing query plans, developing execution-engine capabilities, improving large-table performance, and contributing through design, coding, testing, code review, and release. The role involves working with technologies such as Spark, DataFusion, Iceberg, Arrow, and Parquet while learning how modern distributed data systems operate.

Build and improve data processing infrastructure and query engines supporting Palantir Foundry. Develop query planning rules, native execution capabilities, and large-table performance improvements using technologies such as Apache Spark, DataFusion, Iceberg, Arrow, and Parquet. Contribute across design, coding, testing, code review, and release while emphasizing correctness, compatibility, and predictable performance.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integrations, and automation infrastructure. Develop internal and customer-facing platform capabilities, improve product reliability, performance, and scalability, and partner with product, design, data science, and research teams to define strategy and deliver features. Identify high-leverage technical investments and own software features end to end.

Build and operate developer-facing experiences, including portals, documentation tooling, SDKs, quickstarts, code samples, and integration templates. Support partner API integrations, write tests and documentation, participate in debugging and design reviews, and collaborate across Engineering, Product, Partnerships, Sales, and Support. The role requires strong software engineering fundamentals, API experience, clear communication, and an interest in developer tools and user experience.

Build and own features for Braze’s high-scale user segmentation platform using Ruby on Rails and React. Develop new segmentation capabilities, optimize MongoDB and ClickHouse queries, and work with large-scale data systems. Responsibilities include project ownership, cross-functional collaboration, automated testing, code reviews, production rollouts, and on-call support. The role requires strong software engineering fundamentals, database experience, autonomy, and effective communication.

Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.

Own product features end-to-end across web app, GraphQL API, and embeddable components. Design schemas and APIs, build backend and frontend, write tests, monitor real-user behavior, and ship weekly. Establish shared component library, design system, and testing patterns. Optimize performance and leverage AI tooling to accelerate engineering and product collaboration.

Develop and operate the Open DEX platform, enterprise API integrations, internal tools, automated workflows, and AI-assisted applications. Build secure, containerized cloud services and infrastructure using Python, Kubernetes, AWS, CI/CD, and infrastructure-as-code technologies. Diagnose production incidents, improve performance, establish reusable engineering standards, and collaborate with security, identity, infrastructure, and engineering teams.

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

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.