Top Senior Backend Engineer Jobs in NYC, NY

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Design and scale asynchronous Python backend systems, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Own relational data models, observability, performance, CI/CD, and production deployment. Establish AI governance covering code review, provenance, licensing, security, compliance, and customer data handling. Drive ideas from concept through production while owning architecture and outcomes.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Own Corvus’s backend architecture and data layer, including a canonical data model and knowledge graph for manufacturer, facility, product, and people data. Build resilient systems with queues, retries, idempotency, and observability while enabling agent-powered research workflows. Work directly with founders and customers to design, ship, scale, and monitor production systems. The role requires strong relational database expertise, entity resolution experience, pragmatic technical decision-making, and in-person work in NYC five days per week.

Develop scalable Django back-end applications and RESTful APIs; design databases, schemas, ER diagrams, data flows, authentication, and authorization systems. Configure cloud infrastructure and production deployments, optimize PostgreSQL performance, write automated tests, and manage Linux servers with Bash, SSH, and shell scripting. Collaborate with cross-functional teams, document systems, and contribute to scalable architecture. This is a remote, unpaid internship requiring at least 30 hours weekly.

Own backend features from inception through production, develop and improve Kotlin services, write maintainable and well-tested code, and design scalable, reliable distributed systems within a small cross-functional team.

Build and scale backend infrastructure for AI-driven freight finance workflows, including document processing, APIs, data pipelines, audit engines, integrations, observability, and performance monitoring. Collaborate with AI/ML teams to productionize model outputs, integrate freight and financial systems, improve engineering practices, and make frontend updates as needed in a remote-first startup environment.

Build and operate backend services and APIs for secure, multi-tenant administration workflows, including user access, account hierarchies, settings, roles, access controls, and audit logs. Own features from design through production support, applying strong data modeling, authorization, testing, observability, and reliability practices. Collaborate with Product and engineering teams, investigate production issues, document systems, and mentor teammates.

Develop and maintain scalable backend services and APIs for crypto and fintech payments. Responsibilities include Azure deployment, testing and debugging, performance optimization, secure product development, code reviews, architectural decisions, and system design. Collaborate with globally distributed Engineering and Product teams while applying RESTful API, microservices, DevOps, and CI/CD practices.

Build and operate highly scalable Go backend services and data infrastructure for the AT Protocol ecosystem. Scale systems to support hundreds of millions of users, hundreds of millions of events, petabytes of NVMe storage, thousands of CPU cores, and tens of terabytes of RAM. Responsibilities include developing mission-critical services, managing production operations, and working with databases, distributed systems, operating systems, networking, and storage technologies.

Designs, develops, and supports scalable Java microservices using Spring Boot and Google Cloud. Responsibilities include SQL and data pipeline development, CI/CD automation with Jenkins, infrastructure as code using Terraform, unit testing, code reviews, production incident resolution, root-cause analysis, agile execution, and mentoring engineering teams.

Build and operate backend services and asynchronous workflows that provision customer accounts, assets, and product entitlements. Own projects from design through production support, ensuring reliable retries, idempotency, observability, testing, and recovery from failures. Collaborate with licensing, Product, administration, partner, and customer-facing teams to improve onboarding and activation paths. Investigate operational issues, address root causes, document systems, and contribute to code reviews and technical problem solving.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Build, deploy, maintain, and monitor highly scalable backend applications and distributed systems. Write performant, secure, fault-tolerant code; review peers’ work; evaluate technologies; develop automated tests; improve observability and availability; manage technical debt; and collaborate across teams to deliver reliable customer-facing platform features.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include database control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and operational support. The role also leads technical delivery, mentors engineers, establishes quality standards, collaborates cross-functionally, and contributes to team roadmap and on-call operations.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Develop and maintain Ruby on Rails backend systems supporting solar development, value evaluation, and loan servicing. Responsibilities include writing and reviewing code, maintaining CI/CD pipelines, solving complex domain problems, collaborating with Product and company experts, shaping architecture and technical direction, and improving engineering processes as the company scales.

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.

Architect and build highly reliable, scalable backend systems powering Uber One memberships across UberEats and UberX. The role involves platform evolution, microservices and API design, technical strategy, cross-functional collaboration, architectural decision-making, production deployment, monitoring, incident management, and engineering excellence. The engineer will lead complex technical initiatives and develop systems serving millions of global users.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Design, develop, and maintain scalable, high-performance backend and middleware services on the JVM using Java and Spring/Spring Cloud. Build and enhance microservices, work with AWS and Docker, implement SQL/noSQL solutions (MySQL, Elasticsearch), use Git-based source control and JIRA, collaborate across engineering, design, and QA, and mentor teammates while following best practices and Agile methodologies.