Top Backend Engineer Jobs in NYC, NY

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.

Build and maintain backend data connectors and shared connectivity infrastructure for Palantir Foundry. Develop connector SDKs, integrations, build and distribution tooling, testing frameworks, observability, security capabilities, and migration solutions. Collaborate across teams to support batch and streaming ingestion, exports, change data capture, interactive queries, and writeback. Diagnose production reliability and performance issues, improve compatibility and maintainability, and help prepare connectivity software for open-source use.

Design, build, and maintain scalable backend enterprise services for user, group, and membership management. Develop TypeScript, REST, and JSON services; implement SCIM-based identity synchronization and lifecycle management; operate high-scale systems through on-call rotations; and use Terraform, AWS CloudFormation, and Kubernetes to deliver highly available applications. Collaborate across teams on large-scale projects involving security, identity protocols, and access control models.

Designs and operates large-scale distributed systems for customer placement, auto balancing, and autoscaling within CrowdStrike’s multi-tenant NG-SIEM platform. The role uses real-time usage data to optimize performance and resource utilization, investigates LogScale ingestion, storage, caching, and query behavior, and delivers reliable production features. Responsibilities include incident response, technical strategy, cross-team alignment, mentoring, and leading ambiguous scalability initiatives. The position is hybrid in Sunnyvale, Redmond, New York City, or Austin.

Design, implement, test, debug, and operate scalable backend services such as identity, friend graph, and persistence systems. Collaborate across teams to deliver product solutions while maintaining availability, scalability, security, operational excellence, and cost efficiency. Investigate incidents and hotfixes, apply distributed-systems best practices, and use AI-assisted development tools while auditing output for quality and security.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Design, implement, operate, and scale critical backend services, including identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, ensure availability and operational excellence, test and debug code, and participate in incident resolution. The role requires technical leadership, distributed-systems expertise, and effective use of AI development tools while maintaining security, performance, and production-quality standards.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Leads the design, development, testing, troubleshooting, and operational support of secure, scalable Java backend applications. Builds cloud-native microservices, resilient distributed systems, and RESTful solutions using SQL and NoSQL databases. Reviews code, resolves production issues, automates recurring remediation, supports continuous delivery, promotes modern engineering practices, and mentors teams across software engineering.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

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.

Build, deploy, and maintain large-scale backend applications and high-volume, fault-tolerant infrastructure. Own complex projects from discovery through launch, improve system performance, reliability, and scalability, enhance testing and deployment infrastructure, secure sensitive data, and provide technical leadership, mentorship, and cross-functional collaboration.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

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.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

Build and operate GitLab’s Rust-based Knowledge Graph backend supporting SDLC and code indexing, graph queries, MCP endpoints, AI agents, and analytics. Integrate with Rails, ClickHouse, NATS JetStream, and Data Insights systems. Improve reliability, observability, scalability, and operational readiness through testing, metrics, runbooks, alerts, and on-call participation. Collaborate asynchronously across product, data, infrastructure, security, and AI teams while contributing to system design and occasional Ruby or frontend work.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Lead backend technical strategy and hands-on development for Growth and Monetization systems, including metering, billing, entitlements, pricing, provisioning, payments, onboarding, notifications, and AI-powered customer journeys. Identify growth opportunities, measure business impact, establish engineering standards, and collaborate with product, design, finance, go-to-market, and business leadership. The role may grow into team leadership.

Build and manage backend applications powering Chariot’s identity and payments platform. Design APIs and scalable backend systems, establish engineering standards, improve monitoring and alerting, generate product and technology initiatives, and collaborate directly with founders, product managers, and engineers. Own projects end to end, including planning and delivery within an Agile/Scrum environment.

Build and maintain backend applications and platform components for Chariot’s identity and payment network. Design scalable APIs and backend systems, establish engineering standards, improve monitoring and alerting, generate product and technology initiatives, and deliver projects in an Agile/Scrum environment. The role involves high ownership and direct collaboration with founders, product managers, and engineers.

Designs and scales enterprise backend services, data platforms, pipelines, and distributed processing solutions. Leads architecture, graph-based data initiatives, Snowflake implementations, engineering standards, code reviews, CI/CD, testing, and AI-assisted development. Partners with technical and business stakeholders, ensures security and regulatory compliance, optimizes platform performance, and mentors engineers.

Design, build, deploy, and operate scalable backend services, APIs, microservices, integrations, and cloud-native applications for enterprise learning platforms. Responsibilities include database design, security, testing, CI/CD, observability, troubleshooting, performance improvements, architecture reviews, and production support. The role collaborates cross-functionally and uses AI-assisted development tools to improve software delivery while maintaining quality and reliability.

Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.