Backend Jobs in United States
There are 5,573 open Backend jobs in United States on freehire right now. 791 of them were posted recently. The skills employers ask for most often are api, cloud and ai.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $165,591 | $192,000 | $215,000 | 1,414 |
| USD | hour | $62 | $69 | $76 | 28 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- api 43%
- cloud 41%
- ai 37%
- python 35%
- aws 32%
- java 32%
- distributed-systems 24%
- kubernetes 22%
How the work is done
- Remote 830 · 15%
- Hybrid 726 · 13%
- Onsite 355 · 6%
Visa sponsorship offered in 38% of the 1,567 postings that state a position on it.
Seniority
- Senior 3,092
- Lead 426
- Staff 387
- Principal 100
- Middle 55
- C-level 38
Who is hiring
- 501-1000 employees 917
- 1000+ employees 898
- 51-200 employees 589
- 11-50 employees 284
- 201-500 employees 46
- 1-10 employees 15
Software Engineer (Backend)
This role is for a technical lead to oversee backend architecture for a healthcare business intelligence platform. The position involves hands-on coding, architectural decision-making, and mentoring a team of engineers to deliver scalable reporting and data processing services.
Senior Go Backend Engineer — Remote, Scalable Systems
Senior Go Backend Engineer designing, building, and operating scalable backend systems, APIs, and services with a focus on architecture, data models, and infrastructure in a startup environment.
Senior Backend Engineer — Remote, AI-Driven APIs
Senior backend engineer owning substantial backend development with production-grade Python, API design, and cloud infrastructure, using GenAI tools to ship scalable services for global brands.
Senior Backend Engineer - Fintech Data Pipelines (Remote)
Senior Backend Engineer owning backend services, data pipelines, and reporting infrastructure for a fintech Capital Insights team, building scalable APIs and data models for lender and investor reporting.
Senior Backend Engineer — Real-Time Fraud & Risk AI
Build and own real-time decisioning systems and risk workflows for an AI-powered identity and fraud prevention platform, optimizing data paths and extending AI features using Node.js, TypeScript, SQL, and OpenSearch/Elasticsearch.
Lead Backend Engineer — Python, AWS & Cloud Innovation
Lead backend engineer driving distributed microservices and full-stack systems on AWS, mentoring engineers and collaborating with PMs to deliver cloud-based solutions using Java, Python, SQL, Node, Go, and Scala.
Senior API & Backend Engineer - Microservices & Cloud
Design, develop, and optimize high-performance APIs and backend services for private aviation brands using OO design, microservices, relational/NoSQL databases, and cloud services.
Lead Backend Engineer — Python & AWS
Lead a team of developers building scalable financial services back-ends using Python, Java, AWS, Docker, and Kubernetes in a microservices architecture.
Senior Backend Engineer – Scalable Systems
Build and operate scalable backend services powering multi-channel marketing platforms, using Java, Python, or Go.
Senior Backend Engineer, Enterprise Platform & Governance
Senior Backend Engineer at Databricks building enterprise-grade backend capabilities for CustomerLake in NYC, including permissions, audit logs, pricing controls, and governance for scalable SaaS products.
Senior Distributed Data & Backend Engineer
Build distributed data services, APIs, and processing pipelines in Golang and a Python client library for data access, collaborating with physicists and engineers on fusion technology systems.
Senior Golang Backend Engineer - Remote (US)
Design and build high-performance, latency-sensitive backend services and cloud-native applications in Go, participating in code reviews, design reviews, and mentoring within a production codebase.
Confluent - Senior Software Engineer - Backend
Senior backend engineer on Confluent Cloud's Traffic team, designing and operating large-scale distributed networking services in a cloud-native, Kubernetes-based environment using Go, Java, or C++.