Top Backend Engineer Jobs in NYC, NY

Build and maintain backend services powering AI agents for finance workflows. Own a product module from design through production, develop prompts, tools, evaluation suites, and safety controls, and collaborate with accounting professionals to automate their workflows. Contribute to front-end development when needed. The role is full-time, on-site in New York City five days per week.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

Lead development of high-volume Java applications for financial margin calculation and risk management. Responsibilities include technical design, performance optimization, concurrent and distributed processing, batch and event-driven workflows, testing, production troubleshooting, resiliency improvements, code reviews, mentoring, and end-to-end delivery. The role partners with global technology, business, risk, and operations teams while ensuring security, regulatory, audit, and technology-control compliance.

Leads backend software engineering for secure, scalable, high-throughput systems. Develops and reviews production code, guides engineers and technical partners, influences architecture and technical operations, and promotes software development standards. Builds microservices, streaming and data-processing solutions using AWS, containers, orchestration, caching, and workflow tools. Drives responsible AI-assisted development practices, including validation for security, correctness, testing, resiliency, and delivery efficiency.

Build and operate backend services for Slack’s enterprise productivity integrations with Google Workspace and Microsoft 365. Responsibilities include authentication and authorization flows, admin tooling, connector frameworks, analytics, experimentation, secure architecture, production support, code review, mentoring, and cross-functional collaboration.

Own backend engineering from problem definition through production for a platform handling sensitive financial data. Design backend architecture, build transaction, billing, and reimbursement automation, collaborate with product and operations teams, and improve engineering tooling and processes. The role requires shipping scalable, privacy-critical server-side systems with minimal oversight in a small, fast-moving team.

Build backend-leaning product features for Hex’s AI analytics platform, including APIs, CLI workflows, MCP integrations, access-control systems, enterprise administration, and full-stack product changes. Design scalable systems, implement complex business logic, collaborate through RFCs and code reviews, and contribute across the application stack. The role uses TypeScript, GraphQL, Postgres, Redis, Kubernetes, AWS, and related infrastructure technologies.

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.

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Build and operate high-throughput backend and infrastructure services powering healthcare AI agents. Own core platform services end to end, design for concurrency and reliability, improve performance and observability, handle sensitive healthcare data, and influence architectural decisions. The role requires production experience with distributed systems, service design, debugging across services, queues, and databases, and on-site work in New York City or San Francisco.

Develop and lead backend Java development for a high-volume margin calculation platform supporting financial risk management. Responsibilities include technical design, performance optimization, concurrency, batch and event-driven processing, testing, production support, resiliency improvements, code review, mentoring, and cross-functional delivery. The role requires ownership of business-critical functionality while meeting security, regulatory, audit, and technology-control requirements.

Staff Backend Engineer responsible for architecting complex backend systems, setting engineering standards, developing data-intensive applications, and scaling GenAI products. The role leads technical roadmaps, cloud infrastructure, testing, observability, and AI coding-tool adoption while mentoring engineers and partnering across engineering, product, and business teams.

Design, build, and own complex backend systems for a healthcare claims platform. Contribute to architecture, coding standards, testing, observability, infrastructure, and system health. Collaborate with product, data, DevOps, and business teams while mentoring engineers and using AI coding tools to improve productivity.

Design, build, and maintain scalable backend services and APIs using Go for an AI platform. Collaborate on system architecture and integrations, optimize performance and reliability, write tested and documented code, support security and compliance, participate in code reviews, and share knowledge in a fast-paced agile startup environment.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Own and architect large-scale backend systems powering Anthropic’s API, Claude products, and enterprise platforms. Lead complex projects, make scalability and reliability decisions, collaborate across engineering, product, research, and commercial teams, and remain hands-on with code and AI models. Potential areas include platform serving, developer experience, agentic systems, identity, enterprise foundations, safety, and cloud-native distribution.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Design, implement, operate, and scale critical backend services such as identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, test and debug code, and apply best practices for availability, scalability, security, operational excellence, and cost management. Independently deliver medium-sized features, support incident resolution, and use AI tools responsibly to improve development workflows while maintaining production-quality standards.

Build and operate reliable backend integrations between AI agents and CRM platforms. Design event pipelines, asynchronous processing, APIs, synchronization, retries, reconciliation, and recovery systems. Ensure data integrity, secure authentication, correct multi-tenant routing, and dependable CRM actions such as customer lookup and appointment booking. Own production reliability through observability, testing, alerts, and operational tooling. Staff engineers additionally guide architecture and establish platform-wide engineering patterns.

Own and scale the backend platform for Hapiko’s voice-activated sticker printer. Responsibilities include API and queue ownership, real-time device connectivity, autoscaling, observability, cost instrumentation, release engineering, database migrations, security collaboration, and on-call support. The role requires deep Python and PostgreSQL expertise, Elixir experience or willingness to learn, production infrastructure ownership, and experience scaling queue-driven or real-time systems.

Design, build, and scale backend services and APIs powering Pangram’s AI detection platform. Own AWS infrastructure, reliability, performance, observability, data pipelines, caching, and production model-serving integrations. Resolve scaling bottlenecks, establish engineering best practices for testing and deployment, and improve incident response. Collaborate with frontend and machine learning teams in a high-autonomy, on-site role.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Design, develop, and maintain scalable backend applications using PHP and Laravel. Build RESTful APIs, PostgreSQL schemas and queries, third-party integrations, automated tests, and Dockerized services across AWS. Monitor application health, troubleshoot defects, participate in code reviews, improve CI/CD workflows, and document technical processes. Collaborate with product, frontend, QA, and DevOps teams in a remote Agile/Scrum environment to deliver reliable software supporting clinical workflows.