Top Backend Engineer Jobs in NYC, NY

Lead architecture and technical planning for AI-enabled backend products, build proof-of-concepts, mentor backend engineers, integrate LLMs into customer-facing systems, collaborate with Product and Design, and unblock technical debt to scale high-impact, high-growth services.

As a Software Engineer at Kepler, you'll develop backend systems, manage data pipelines, and integrate AI for financial applications, ensuring production excellence and scalability.

Design and maintain scalable backend services, driving engineering excellence and collaborating with cross-functional teams to enhance platform capabilities.

The Software Engineer, Backend will develop scalable distributed systems, build REST APIs, and ensure high-quality software delivery while collaborating with teammates and stakeholders.

The Senior Software Engineer will design, build, and maintain scalable backend services, enhance existing platform capabilities, and collaborate on technical projects across teams.

As a Senior Software Engineer, you will develop backend services for commerce, ensuring secure payment processes and system reliability, while leading cross-functional technical efforts.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Design, build, and maintain scalable backend services and APIs for commerce workflows using Python/Django. Improve reliability, performance, and observability, operate AWS deployments, work with PostgreSQL and event-driven architectures (SNS/SQS), modernize legacy systems, and support CI/CD, testing, and production troubleshooting.

Design, build, and maintain scalable, fault-tolerant backend services for a core banking system using Go and asynchronous, event-driven architectures. Implement and optimize transaction workflows, collaborate with cross-functional teams, deploy and monitor cloud services (AWS), and leverage AI-assisted development while ensuring testing, profiling, and documentation.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, ensure availability, scalability, operational excellence, and cost management. Build, test, debug, and participate in incident resolution while leveraging AI tools to accelerate development and maintain secure, production-ready code.

Design and build production-grade backend services and APIs for contact center systems using serverless patterns on AWS. Implement observability, data pipelines, AI-enabled automation, and migration tooling to modernize telephony workflows and improve agent and customer experiences.

Design and implement RESTful APIs, microservices, and distributed systems. Collaborate with teams to promote inclusivity and strong communication.

Design and develop scalable Java backend services and APIs, collaborate with data teams to build data pipelines (Scio/Storm/Spark) on GCP, ensure code quality via TDD and CI, operate high-volume distributed systems, and partner with product, data science, and research to inform ad-product decisions.

Design and implement scalable backend services for payment and transaction workflows using Java. Own end-to-end features from data model and APIs to Angular frontends, improve reliability and performance, refactor legacy systems, troubleshoot production issues, and collaborate with product and design. Leverage AI-assisted development tools responsibly and share best practices across the team.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead and scale backend systems using TypeScript and Go, build GraphQL/REST APIs for mobile and web, own features end-to-end, define testing strategy, collaborate with product and design, and drive architecture and process improvements to support millions of users.

Design, build, and maintain server-side systems including databases and APIs. Optimize performance, ensure security, troubleshoot issues, and collaborate with front-end and product teams while staying current on technologies.

Lead design, development, scaling, and maintenance of backend architecture for banking applications. Write efficient, testable code, develop and automate tests, troubleshoot production issues, perform code reviews, enforce security and technology standards, and advise stakeholders on emerging technologies and implementations.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

Design, build, and maintain server-side application logic, databases, and APIs. Ensure performance, scalability, and security; debug issues; collaborate with front-end and product teams; stay current with technology trends.

As a Staff Backend Engineer, you will develop APIs and tools, manage databases, and facilitate modern software practices while collaborating with the team to enhance user privacy and ownership.

Lead architecture and implementation of scalable backend services and distributed data platforms for large healthcare datasets. Drive technical roadmap, build high-throughput processing systems and APIs, collaborate with product and ML teams, mentor engineers, and own production deployments and reliability for mission-critical data capabilities.