Top Software Engineer Jobs in New York City, NY

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.

Build and operate high-throughput backend services for AI agent orchestration, real-time infrastructure, data pipelines, scheduling, session history, APIs, and enterprise controls. Design highly available cloud infrastructure, collaborate with AI, product, and frontend teams, and contribute to testing, documentation, reliability, and mentoring junior engineers.

Develop and support full-stack cloud applications using React, TypeScript, Vite, AWS services, REST APIs, and Varicent ICM. Build reusable frontend components and backend services, write unit and integration tests, troubleshoot issues, participate in code reviews and Agile ceremonies, and follow GitHub and CI/CD practices. Collaborate with engineering, QA, product, and technology teams to deliver secure, scalable, maintainable solutions.

Leads Datadog’s global Graphing and Data Visualization engineering organization, setting technical and organizational strategy across graphing, dashboards, notebooks, search, and AI-powered interfaces. The role develops engineering leaders, partners with Product and Design, guides performant visualization platforms, and advances agent-based experiences for creating and exploring complex data.

Design, develop, test, deploy, and maintain scalable Java applications, services, and platforms supporting investment and business workflows. Build distributed systems, APIs, data platforms, and event-driven architectures; modernize existing technology; improve performance, reliability, and scalability; and contribute to architecture and technical strategy. Partner with users and engineering teams throughout the software development lifecycle to deliver production-quality solutions.

Own full-stack projects from architecture through deployment and production support. Build scalable web applications and backend services with Node.js, NestJS, Hono, or Express; create frontend experiences with React, Next.js, and React Native; and work with PostgreSQL databases. The role includes architectural decision-making, observability, performance optimization, code reviews, CI/CD, and collaboration with design and engineering teams to deliver products used by millions of members.

Build and ship consumer-facing web and mobile experiences across the stack, with a frontend focus. Own features from UX definition through APIs, data models, experimentation, and production deployment. Develop AI-powered healthcare product surfaces, improve frontend performance and accessibility, and collaborate with Product, Design, and engineering teammates to increase user activation and retention.

Software Engineering Interns will work on Notion’s Web Infrastructure team, building performant, scalable, and accessible frontend foundations. Responsibilities may include developing reusable web patterns, creating tooling for testing, debugging, and profiling frontend features, and building desktop infrastructure with OS integrations. Candidates should be pursuing a relevant degree, developing React and TypeScript proficiency, have prior internship experience, and demonstrate problem-solving, collaboration, adaptability, user empathy, and interest in AI technologies.

Design, develop, and maintain simulation orchestration, quantitative research, financial analytics, and experiment management software. Build scalable distributed systems, testing frameworks, visualization tools, and performance-monitoring solutions. Modernize software infrastructure supporting data-driven trading decisions, debug complex systems, analyze bottlenecks, and improve accuracy, computational performance, reliability, and cost efficiency.

Drives platform modernization across engineering teams by applying target-state architecture, AI-assisted development, and Spec-Driven Development. Partners directly with engineers and technical leads, contributes code and technical designs, guides migration strategy, reviews TDDs and RFCs, establishes engineering standards, and coaches teams on scalable backend, distributed-system, and event-driven architecture practices.