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Javascript Backend Developer Jobs in Brooklyn, NY

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Javascript Backend Developer information

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$12

$60

$88

How much do javascript backend developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for javascript backend developer in Brooklyn, NY is $60.71, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $71.78 per hour, depending on experience, location, and employer.

What does a JavaScript backend developer do?

A JavaScript Backend Developer is responsible for building and maintaining the server-side logic, databases, and APIs that power web applications. They use JavaScript, often with frameworks like Node.js, to process requests, manage data, and ensure smooth communication between the frontend and backend of an application. Their work ensures that web applications are scalable, secure, and efficient. JavaScript Backend Developers also collaborate with frontend developers and other team members to deliver seamless user experiences.

What are the key skills and qualifications needed to thrive as a JavaScript backend developer, and why are they important?

To thrive as a Javascript Backend Developer, you need strong proficiency in JavaScript (especially Node.js), knowledge of backend frameworks, and a solid understanding of databases such as MongoDB or PostgreSQL. Familiarity with development tools like Git, RESTful APIs, Docker, and cloud platforms, as well as relevant certifications, is highly valuable. Excellent problem-solving, teamwork, and communication skills help you collaborate effectively and deliver robust solutions. These abilities are crucial for building scalable, secure, and maintainable backend services that power modern applications.

What are the typical challenges a JavaScript backend developer faces when scaling applications for high traffic?

JavaScript Backend Developers, especially those working with Node.js, often encounter challenges related to handling high concurrency, optimizing database queries, and maintaining application performance under heavy load. Ensuring efficient memory management and implementing robust error handling are also critical when scaling. Working closely with DevOps and frontend teams to optimize APIs and monitor system health is essential for delivering reliable, scalable backend solutions.

What is the difference between Javascript Backend Developer vs Javascript Frontend Developer?

AspectJavascript Backend DeveloperJavascript Frontend Developer
Primary FocusServer-side development, APIs, databasesUser interface, client-side interactions
Required SkillsNode.js, databases, server managementHTML, CSS, JavaScript, UI frameworks
Work EnvironmentBack-end servers, cloud platformsWeb browsers, client devices
Common UsageBuilding APIs, server logicDesigning web pages, user experience

The main difference between a Javascript Backend Developer and a Javascript Frontend Developer lies in their focus areas. Backend developers handle server-side logic, databases, and APIs, while frontend developers focus on creating engaging user interfaces and client-side interactions. Both roles require JavaScript skills but apply them in different parts of web development projects.

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What job categories do people searching Javascript Backend Developer jobs in Brooklyn, NY look for? The top searched job categories for Javascript Backend Developer jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Javascript Backend Developer jobs? Cities near Brooklyn, NY with the most Javascript Backend Developer job openings:
Infographic showing various Javascript Backend Developer job openings in Brooklyn, NY as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 80% In-person, 9% Hybrid, and 11% Remote job distribution, with an average salary of $126,271 per year, or $60.7 per hour.

Lead Backend Architect

Long Finch Technologies

New York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Roles & Responsibilities
  • Lead the architecture, design, and implementation of scalable cloud-native backend platforms for Lounge Services.
  • Design and develop high-performance microservices and APIs using Node.js/TypeScript on AWS/GCP.
  • Define architecture standards for distributed systems, event-driven solutions, messaging, and cloud-native applications.
  • Drive the adoption of AI capabilities by integrati ng LLMs and Agentic AI into enterprise backend services.
  • Design and implement reusable AI platform components including orchestration, RAG pipelines, model gateways, and AI observability.
  • Provide technical leadership across engineering teams, driving architecture reviews, engineering best practices, and technology decisions.
  • Collaborate with Product, Engineering, Security, and Enterprise Architecture teams to deliver scalable and secure solutions.
  • Mentor engineering teams and influence technical direction across multiple initiatives.
  • Evaluate emerging backend, cloud, and AI technologies and recommend enterprise adoption where appropriate.
  • Ensure solutions meet enterprise standards for scalability, reliability, security, performance, and operational excellence.
Must Have Technical/Functional Skills
  • 10+ years of experience in designing and building enterprise-scale, cloud-native backend systems and distributed architectures.
  • Strong hands-on expertise in Node.js, JavaScript, and TypeScript (must-have), with working knowledge of Python and Go.
  • Extensive experience developing microservices, REST/gRPC APIs, event-driven architectures, and scalable backend platforms.
  • Strong expertise in AWS and/or GCP, Kubernetes, Docker, cloud-native architecture, and CI/CD pipelines.
  • Experience with distributed messaging and streaming technologies such as Kafka, queues, and asynchronous processing.
  • Proven experience designing highly available, secure, scalable, and resilient backend systems.
  • Strong understanding of databases (SQL/NoSQL), caching, observability, logging, and performance optimization.
  • Mandatory experience integrating Large Language Models (LLMs) into enterprise applications and backend platforms.
  • Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or Semantic Kernel.
  • Experience building Retrieval-Augmented Generation (RAG) pipelines, AI orchestration workflows, and LLM gateways.
  • Working knowledge of PyTorch, Hugging Face ecosystem, embeddings, inference, and model evaluation.
  • Strong understanding of AI governance, evaluation, safety, and responsible AI practices.
  • Excellent architecture, technical leadership, stakeholder management, and mentoring skills.
Required Technologies
  • Languages: Node.js, JavaScript, TypeScript, Python, Go
  • Cloud: AWS/GCP
  • Containers: Kubernetes, Docker
  • APIs: REST, gRPC
  • Messaging: Kafka or equivalent
  • AI Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel
  • ML: Hugging Face, PyTorch
  • DevOps: CI/CD, Terraform (preferred)